* Add jamba arch

* apply "make fix-copies" changes

* fix link to model in JambaConfig docstring

* Add n_ctx in modeling file because repo-consistency wants that

* Add jamba to flash attention and sdpa documentation

* mamba dt_proj quant fix now works for LoRA as well

* override test_left_padding_compatibility and use a more permissive tolerance. left padding numerical difference are accentuated by mamba layers

* add jamba to tokenization auto

* fix comments of shape (PR #24 in the model page: https://huggingface.co/ai21labs/Jamba-v0.1/discussions/24)

* simple PR fixes

* remove unnecessary kwargs from JambaAttentionDecoderLayer and JambaMambaDecoderLayer

* remove the LoRA hack for the mamba dt_proj bias. It was solved in huggingface/peft#1530 (https://github.com/huggingface/peft/pull/1530)

* Add copied comment on JambaMLP (it's the same as MixtralMLP)

* remove padding_mask warnings. It's not supported anymore

* fix docstring. Float instead of int

* A few more minor PR fixes

* (1) lowercase names for mamba layernorms (2) remove _apply_inner_layernorms and do it directly in the forward pass

* Return None attention weights from mamba layers. Append to all attentions only if not None.

* remove some leftover jamba archive lists

* Better separation between expert vs non-expert layers. non-expert layers return None as router_logits, and it is not concatenated to all_router_logits returned from JambaModel

* no need to take router_logits at config.expert_layer_offset anymore. result.router_logits now holds results only for expert layers

* Add Jamba paper on READMEs

* (1) rename n_ctx -> max_position_embeddings (2) don't use it in the modeling file since it's not needed (set it as an exception to check_config_attributes)

* Add copied from comment

* remove the code path for apply_inner_layernorms=False. Jamba always has the inner mamba layernorms

* clearer docstring for _convert_to_standard_cache

* style fixes

* Change calc_logits_for_entire_prompt (bool) to num_logits_to_keep (int). Adapt assisted decoding code tp use it. Also small change in low memory beam search decoding path to support this new int value in model_inputs

* rename test so it still overrides what its meant to override

* draft

* oups

* nit

* remove more complexe logic

* fix names used in config

* fix fix fix

* style

* fix some more failing tests

* generate did not init the cache 🙃



* more small nits

* typo

* config.mamba_expand * config.hidden_size for the intermediate size of the mamba shapes

* fix init of pkv with torch.tensor()

* empty tensor

* fix some init issues

* stupid changes required by generate because it does not even support it's own DynamicCache class

* more fixes

* fix general assisted gen cache_position bug

* tests passing

* Add offsets and periods as SPECIAL_CASES_TO_ALLOW in check_config_attributes.py

* fix reorder_cache to reorder mamba states and override some more functions in HybridMambaAttentionDynamicCache

* no need to override test_past_key_values_format() and _check_past_key_values_for_generate() in tests anymore

* fix docstrings and typehints for past_key_values

* style fixes

* fix docs

* change typehint due to copy from Mixtral

* forgot import

* import order

* Add configuration_jamba and modeling_jamba to not_doctested because the model is too big to download (in docstring of JambaForCausalLM.forward)

* Add integration test with tiny tandom Jamba model on hub

* fix flash attention cache shapes

* bring back forgotten hidden states

* rename HybridMambaAttentionDynamicCache.seqlen_offset to has_previous_state (and make bool) and bugfix - it should be set to True after a finished forward pass of the entire model

* align integration test after modeling fixes

* bugfix - mamba can use precomputed states only of forward pass is on a single token

* bugfix - mamba can use precomputed states only if they match the batch size

* typo

* remove making _prepare_4d_causal_attention_mask a leaf function

* stop using past_seq_len.get_seq_length(). Use cache positions instead. Adjust test (test_decoder_model_past_with_large_inputs) accordingly

---------

Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Joao Gante <joao@huggingface.co>

* Add OLMo using add-new-model-like with Llama

* Fix incorrect tokenizer for OLMo

* Copy-paste relevant OLMo methods and their imports

* Add OLMo config

* Modify OLMo config to follow HF conventions

* Remove unneeded Llama code from OLMo model

* Add ability for OLMo model to output attentions

* Add OLMoPreTrainedModel and OLMoModel

* Add OLMoForCausalLM

* Minor fixes to OLMo model for style and missing functions

* Implement OLMo tokenizer

* Implement OLMo to HF conversion script

* Add tests for OLMo model

* Add tests for OLMo fast tokenizer

* Add auto-generated dummy objects

* Remove unimplemented OLMo classes from auto and init classes and re-format

* Add README and associated auto-generated files

* Use OLMo names for common properties

* Run make fixup

* Remove `|` from OLMo typing

* Remove unneeded tokenization_olmo.py

* Revert model, config and converter to add-new-model-like Llama

* Move logic for adding bos/eos token into GPTNeoxTokenizerFast

* Change OLMoConfig defaults to match OLMo-7B

* Use GPTNeoXToknizerFast in OLMo tokenizer tests

* Modify auto-generated OLMoModelTests to work for OLMo

* Add non-parametric layer norm OLMoLayerNorm

* Update weight conversion script for OLMo

* Fix __init__ and auto structure for OLMo

* Fix errors from make fixup

* Remove OLMoTokenizerFast from documentation

* Add missing 'Copied from' for OLMoModel._update_causal_mask

* Run make fix-copies

* Rearrange string replacements in OLMoForCausalLM Copied from

* Move OLMo and Llama CausalLM.forward example into global constants

* Fix OLMO_GENERATION_EXAMPLE doc string typo

* Add option for qkv clipping to OLMo

* Rearrange OLMoConfig kwargs in convert_olmo_weights_to_hf

* Add clip_qkv to OLMoConfig in convert_olmo_weights_to_hf

* Fix OLMo tokenization bug using conversion script

* Keep model in full precision after conversion

* Do not add eos token automatically

* Update references to OLMo model in HF Hub

* Do not add eos token during encoding by default

* Fix Llama generation example

* Run make fixup

* OLMo 7B integration test fix

* Remove unneeded special case for OLMoConfig

* OLMo 7B Twin 2T integration test fix

* Fix test_model_7b_greedy_generation

* Remove test_compile_static_cache

* Fix OLMo and Llama generation example

* Run make fixup

* Revert "OLMo 7B integration test fix"

This reverts commit 4df56a4b150681bfa559846f40e9b7b7f97d7908.

* Revert "OLMo 7B Twin 2T integration test fix"

This reverts commit 9ff65a4a294ace89ab047b793ca55e623a9ceefc.

* Ungate 7B integration tests and fix greedy generation test

* Add retries for flaky test_eager_matches_sdpa_generate

* Fix output of doc example for OLMoForCausalLM.forward

* Downsize OLMo doc test for OLMoForCausalLM.forward to 1B model

* Try fix incorrect characters in OLMoForCausalLM.forward doct test

* Try fix incorrect characters in OLMoForCausalLM.forward doc test using end quotes

* Remove pretraining_tp from OLMo config and model

* Add missing 'Copied from' instances

* Remove unneeded causal_mask from OLMoModel

* Revert Llama changes

* Ignore copy for OLMoForCausalLM.forward

* Change 'OLMo' to 'Olmo' in classes

* Move minimal OLMo tokenization tests to model tests

* Add missed 'Copied from' for repeat_kv

* Initial add model additions

* Test

* All weights loading

* Can perform full forward pass

* Local and remote the same

* Matching local and remote

* Fixup

* Idefics2Model importable; fixup docstrings

* Don't skip by default

* Remove deprecated use_resampler arg

* Remove self.config

* DecoupledLinear takes config

* Tidy up

* Enable eager attention and tidy up

* Most tests passing

* Update for batch of processed images

* Add image processor

* Update doc pages

* Update conversion script

* Remove erroneous breakpoint

* Remove accidendtal spelling change

* Update to reflect changes on hub - make generate work

* Fix up

* Image processor tests

* Update tests

* Add a processor

* Add a processor

* Update convert script

* Update modeling file - remove fixmes

* Bug fix

* Add processing test

* Use processor

* Fix up

* Update src/transformers/models/idefics2/modeling_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update src/transformers/models/idefics2/modeling_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Fix test

* Update config - PR comments and defaults align with checkpoint

* Reviewer comments

* Add copied froms for flahs attention

* Update src/transformers/models/idefics2/modeling_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Apply suggestions from code review

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove qk_layer_norm and freeze_layers functionality

* Fix

* Remove freeze_layer options from config

* Sync with upstream main

* Fix attention shapes siglip

* Remove Llava-next refs - TO REBASE

* Use AutoModel for text model

* Add comment to explain vision embeddings

* Fix issue with tie_word_embeddings

* Address review comments

* Fix and fix up

* Chat templates for idefics

* Fix copies

* Fix

* Add layer norms to FA2

* Fix tests

* Apply suggestions from code review

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Fix

* Review comments

* Update src/transformers/models/idefics2/modeling_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update inputs merger

* Merge weights in correct order

* Update convert script

* Update src/transformers/models/idefics2/processing_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update template

* Model code examples (fix idefics too)

* More review comments

* Tidy up

* Update processing

* Fix attention mask preparation

* Update inputs_merger inputs

* Vectorize inputs_merger

* Update src/transformers/models/idefics2/__init__.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/idefics2/modeling_idefics2.py

* Review comments

* saying bye to the `qk_layer_norms`

* Simplify

* Update latents

* Remove erroneuous readme changes

* Return images when applying chat template

* Fix bug - prompt images are for a single sample

* Update src/transformers/models/idefics2/modeling_idefics2.py

* image splitting

* fix test

* some more comment

* some comment

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/idefics2/image_processing_idefics2.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update processor

* Update model tests

* Update src/transformers/models/idefics2/processing_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update src/transformers/models/idefics2/processing_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Don't add BOS in template

* Update src/transformers/models/idefics2/processing_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Remove index in examples

* Update tests to reflect #13

* Update src/transformers/models/idefics2/processing_idefics2.py

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* PR comment - consistent typing

* Update readme and model doc

* Update docs

* Update checkpoint references

* Update examples

* Fix and update tests

* Small addition

* Update tests - remove copied from as no ignore placement copy could be found

* Update example

* small fixes

* Update docs/source/en/model_doc/idefics2.md

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update docs/source/en/model_doc/idefics2.md

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Update README.md

Co-authored-by: Victor SANH <victorsanh@gmail.com>

* Connector model as bridge

* Fix up

* Fix up

* Don't pass model inputs for generation kwargs update

* IDEFICS-2 -> Idefics2

* Remove config archive name

* IDEFICS-2 -> Idefics2

* Add back llava-next

* Update readmes

* Add requirements for processor tester

* Use custom convert_to_rgb to avoid possible BC

* Fix doc example

* Fix doc example

* Skip model doc tests - as model to large

* More doc example - account for image splitting

* Update src/transformers/image_transforms.py

* Fix config doctest

---------

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Victor SANH <victorsanh@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fixed typo when converting weigths to GroundingDINO vision backbone

* Final modifications on modeling

* Removed unnecessary class

* Fixed convert structure

* Added image processing

* make fixup partially completed

* Now text_backbone_config has its own class

* Modified convert script

* Removed unnecessary config attribute

* Added new function to generate sub sentence mask

* Renamed parameters with gamma in the name as it's currently not allowed

* Removed tokenization and image_processing scripts since we'll map from existing models

* Fixed some issues with configuration

* Just some modifications on conversion script

* Other modifications

* Copied deformable detr

* First commit

* Added bert to model

* Bert validated

* Created Text and Fusion layers for Encoder

* Adapted Encoder layer

* Fixed typos

* Adjusted Encoder

* Converted encoder to hf

* Modified Decoder Layer

* Modified main decoder class

* Removed copy comments

* Fixed forward from GroundingDINOModel and GroundingDINODecoder

* Added all necessary layers, configurations and forward logic up to GroundingDINOModel

* Added all layers to convertion

* Fixed outputs for GroundingDINOModel and GroundingDINOForObjectDetection

* Fixed mask input to encoders and fixed nn.MultiheadAttention batch first and attn output

* Fixed forward from GroundingDINOTextEnhancerLayer

* Fixed output bug with GroundingDINODeformableLayer

* Fixed bugs that prevent GroundingDINOForObjectDetection to run forward method

* Fixed attentions to be passed correctly

* Passing temperature arg when creating Sine position embedding

* Removed copy comments

* Added temperature argument for position embedding

* Fixed typo when converting weigths to GroundingDINO vision backbone

* Final modifications on modeling

* Removed unnecessary class

* Fixed convert structure

* Added image processing

* make fixup partially completed

* Now text_backbone_config has its own class

* Modified convert script

* Removed unnecessary config attribute

* Added new function to generate sub sentence mask

* Renamed parameters with gamma in the name as it's currently not allowed

* Removed tokenization and image_processing scripts since we'll map from existing models

* Fixed some issues with configuration

* Just some modifications on conversion script

* Other modifications

* Fix style

* Improve fixup

* Improve conversion script

* Improve conversion script

* Add GroundingDINOProcessor

* More improvements

* Return token type ids

* something

* Fix more tests

* More improvements

* More cleanup

* More improvements

* Fixed tests, improved modeling and config

* More improvements and fixing tests

* Improved tests and modeling

* Improved tests and added image processor

* Improved tests inference

* More improvements

* More test improvements

* Fixed last test

* Improved docstrings and comments

* Fix style

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Better naming

* Better naming

* Added Copied statement

* Added Copied statement

* Moved param init from GroundingDINOBiMultiHeadAttention

* Better naming

* Fixing clamp style

* Better naming

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/configuration_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/convert_grounding_dino_to_hf.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Improving conversion script

* Improved config

* Improved naming

* Improved naming again

* Improved grouding-dino.md

* Moved grounding dino to multimodal

* Update src/transformers/models/grounding_dino/convert_grounding_dino_to_hf.py

Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>

* Fixed docstrings and style

* Fix docstrings

* Remove timm attributes

* Reorder imports

* More improvements

* Add Grounding DINO to pipeline

* Remove model from check_repo

* Added grounded post_process to GroundingDINOProcessor

* Fixed style

* Fixed GroundingDINOTextPrenetConfig docstrings

* Aligned inputs.keys() when both image and text are passed with model_input_names

* Added tests for GroundingDINOImageProcessor and GroundingDINOProcessor

* Testing post_process_grounded_object_detection from GroundingDINOProcessor at test_inference_object_detection_head

* Fixed order

* Marked test with require_torch

* Temporarily changed repo_id

* More improvements

* Fix style

* Final improvements

* Improve annotators

* Fix style

* Add is_torch_available

* Remove type hints

* vocab_tokens as one liner

* Removed print statements

* Renamed GroundingDINOTextPrenetConfig to GroundingDINOTextConfig

* remove unnecessary comments

* Removed unnecessary tests on conversion script

* Renamed GroundingDINO to camel case GroundingDino

* Fixed GroundingDinoProcessor docstrings

* loading MSDA kernels in the modeling file

* Fix copies

* Replace nn.multiheadattention

* Replace nn.multiheadattention

* Fixed inputs for GroundingDinoMultiheadAttention & order of modules

* Fixed processing to avoid messing with inputs

* Added more tips for GroundingDino

* Make style

* Chaning name to align with SAM

* Replace final nn.multiheadattention

* Fix model tests

* Update year, remove GenerationTesterMixin

* Address comments

* Address more comments

* Rename TextPrenet to TextModel

* Rename hidden_states

* Address more comments

* Address more comments

* Address comment

* Address more comments

* Address merge

* Address comment

* Address comment

* Address comment

* Make style

* Added layer norm eps to layer norms

* Address more comments

* More fixes

* Fixed equivalence

* Make fixup

* Remove print statements

* Address comments

* Address comments

* Address comments

* Address comments

* Address comments

* Address comments

* Add comment

* Address comment

* Remove overwriting of test

* Fix bbox_embed

* Improve decoder_bbox_embed_share

* Simplify outputs

* Updated post_process_grounded_object_detection

* Renamed sources to feature_maps

* Improved tests for Grounding Dino ImageProcessor and Processor

* Fixed test requirements and imports

* Fixed image_processing

* Fixed processor tests

* Fixed imports for image processing tests

* Fix copies

* Updated modeling

* Fix style

* Moved functions to correct position

* Fixed copy issues

* Update src/transformers/models/deformable_detr/modeling_deformable_detr.py

Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>

* Keeping consistency custom cuda kernels for MSDA

* Make GroundingDinoProcessor logic clearer

* Updated Grounding DINO checkpoints

* Changed tests to correct structure

* Updated gpu-cpu equivalence test

* fix copies

* Update src/transformers/models/grounding_dino/processing_grounding_dino.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/processing_grounding_dino.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/modeling_grounding_dino.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/grounding_dino/configuration_grounding_dino.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fixed erros and style

* Fix copies

* Removed inheritance from PreTrainedModel from GroundingDinoTextModel

* Fixed GroundingDinoTextModel

* Fixed type of default backbone config

* Fixed missing methods for GroundingDinoTextModel and Added timm support for GroundingDinoConvEncoder

* Addressed comments

* Addressed batched image processing tests

* Addressed zero shot test comment

* Addressed tip comment

* Removed GroundingDinoTextModel from check_repo

* Removed inplace masking

* Addressed comments

* Addressed comments

* Addressed comments

* Fix copies

* Fixing timm test

* Fixed batching equivalence test

* Update docs/source/en/model_doc/grounding-dino.md

Co-authored-by: Tianqi Xu <40522713+dandansamax@users.noreply.github.com>

* Update docs/source/en/model_doc/grounding-dino.md

Co-authored-by: Tianqi Xu <40522713+dandansamax@users.noreply.github.com>

* Update docs/source/en/model_doc/grounding-dino.md

Co-authored-by: Tianqi Xu <40522713+dandansamax@users.noreply.github.com>

* Addressed more comments

* Added a new comment

* Reduced image size

* Addressed more comments

* Nits

* Nits

* Changed the way text_config is initialized

* Update src/transformers/models/grounding_dino/processing_grounding_dino.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------

Co-authored-by: Niels <niels.rogge1@gmail.com>
Co-authored-by: Rafael Padilla <31217453+rafaelpadilla@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Eduardo Pacheco <eduardo.pacheco@limehome.com>
Co-authored-by: Sangbum Daniel Choi <34004152+SangbumChoi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Tianqi Xu <40522713+dandansamax@users.noreply.github.com>

* Fork.

* RecurrentGemma initial commit.

* Updating __init__.py.

* Minor modification to how we initialize the cache.
Changing how the config specifies the architecture.

* Reformat code to 4 spaces.
Fixed a few typos.

* Fixed the forward pass.
Still unclear on the cache?

* Fixed the RecurrentGemmaForCausalLM

* Minor comment that we might not need attention_mask and output_attention arguments.

* Now cache should work as well.

* Adding a temporary example to check whether the model generation works.

* Adding the tests and updating imports.

* Adding the example file missing in the previous commit.

* First working example.

* Removing .gitignore and reverting parts of __init__.

* Re-add .gitignore.

* Addressing comments for configuration.

* Move mask creation to `_prepare_inputs_for_generation`.

* First try at integration tests:
1. AttributeError: 'GriffinCausalLMOutput' object has no attribute 'attentions'.
2. `cache_position` not passed

* Transfoering between machines.

* Running normal tests.

* Minor fix.

* More fixes.

* Addressing more comments.

* Minor fixes.

* first stab at cleanup

* more refactoring

* fix copies and else

* renaming and get init to work

* fix causal mask creation

* update

* nit

* fix a hell lot of things

* updates

* update conversion script

* make all keys importable

* nits

* add auto mappings

* properly convert ffw_up and down

* add scaling

* fix generations

* for recurrent dtype

* update

* fix going beyong window

* fixup

* add missing files

* current updates to remove last einops

* finish modeling refactor

* TADA

* fix compile

* fix most failing testt ? ?

* update tests

* refactor and update

* update

* nits, fixup and update tests

* more fixup

* nits

* fix imports

* test format

* fixups

* nits

* tuple typing

* fix code quality

* add model card

* fix doc

* skip most generation tests

* nits

* style

* doc fixes

* fix pr and check_copies?

* last nit

* oupsy

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <hi@lysand.re>

* update

* Update src/transformers/models/recurrent_gemma/convert_recurrent_gemma_to_hf.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update based on review

* doc nit

* fix quality

* quality

* fix slow test model path

* update default dype

* ignore attributes that can be safely ignored in check config attributes

* 0lallalala come on

* save nit

* style

* remove to dict update

* make sure we can also run in float16

* style

---------

Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: Aleksandar Botev <botev@google.com>
Co-authored-by: Leonard Berrada <lberrada@users.noreply.github.com>
Co-authored-by: anushanf <anushanf@google.com>
Co-authored-by: botev <botevmg@gmail.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update qwen2_moe.md

* update link of blogpost.

* fixup

---------

Co-authored-by: bozheng-hit <dsoul0621@gmail.com>

* add support for qwen2 MoE models

* update docs

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fix style

* fix test when there are sparse and non sparse layers

* fixup

* Update README.md

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fixup

* fixup

* add archive back

* add support for qwen2 MoE models

* update docs

* update model name & test

* update readme

* update class names & readme & model_doc of Qwen2MoE.

* update architecture name

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* update modeling_qwen2_moe.py

* fix model architecture

* fixup

* fix qwen2_moe tests

* use Qwen2Tokenizer instead of Qwen2MoeTokenizer

* fix style

* fix test when there are sparse and non sparse layers

* fixup

* add archive back

* fix integration test

* fixup

---------

Co-authored-by: bozheng-hit <dsoul0621@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* First draft

* Fix tests, add docs

* Improve docstrings

* Fix test

* Address comments

* Address comments

* Remove vocab_size attribute

* Remove batch_size

* Address comment

* Add image processor tests

* Support fx

* Update docstring

* Add support for 34b

* Convert 34b model

* Add integration tests

* Update checkpoints

* Convert vicuna-13b, remove doc tests

* Remove script

* Remove file

* Address comments

* Improve docstrings

* Deprecate vocab_size

* Remove aspect_ratio_setting

* Address comments

* Update READMEs

* Add tips about chat templates

* Fix tests

* Deprecate vocab_size safely

* Update tests

---------

Co-authored-by: Amy Roberts <22614925+amyeroberts@users.noreply.github.com>

* fix

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Added SuperPoint docs

* Added tests

* Removed commented part

* Commit to create and fix add_superpoint branch with a new branch

* Fixed dummy_pt_objects

* Committed missing files

* Fixed README.md

* Apply suggestions from code review

Fixed small changes

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Moved ImagePointDescriptionOutput from modeling_outputs.py to modeling_superpoint.py

* Removed AutoModelForKeypointDetection and related stuff

* Fixed inconsistencies in image_processing_superpoint.py

* Moved infer_on_model logic simply in test_inference

* Fixed bugs, added labels to forward method with checks whether it is properly a None value, also added tests about this logic in test_modeling_superpoint.py

* Added tests to SuperPointImageProcessor to ensure that images are properly converted to grayscale

* Removed remaining mentions of MODEL_FOR_KEYPOINT_DETECTION_MAPPING

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fixed from (w, h) to (h, w) as input for tests

* Removed unnecessary condition

* Moved last_hidden_state to be the first returned

* Moved last_hidden_state to be the first returned (bis)

* Moved last_hidden_state to be the first returned (ter)

* Switched image_width and image_height in tests to match recent changes

* Added config as first SuperPointConvBlock init argument

* Reordered README's after merge

* Added missing first config argument to SuperPointConvBlock instantiations

* Removed formatting error

* Added SuperPoint to README's de, pt-br, ru, te and vi

* Checked out README_fr.md

* Fixed README_fr.md

* Test fix README_fr.md

* Test fix README_fr.md

* Last make fix-copies !

* Updated checkpoint path

* Removed unused SuperPoint doc

* Added missing image

* Update src/transformers/models/superpoint/modeling_superpoint.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Removed unnecessary import

* Update src/transformers/models/superpoint/modeling_superpoint.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Added SuperPoint to _toctree.yml

---------

Co-authored-by: steven <steven.bucaillle@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Steven Bucaille <steven.bucaille@buawei.com>

* first modeling code

* make repository

* still WIP

* update model

* add tests

* add latest change

* clean docstrings and copied from

* update docstrings md and readme

* correct chroma function

* correct copied from and remove unreleated test

* add doc to toctree

* correct imports

* add convert script to notdoctested

* Add suggestion from Sanchit

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* correct get_uncoditional_inputs docstrings

* modify README according to SANCHIT feedback

* add chroma to audio utils

* clean librosa and torchaudio hard dependencies

* fix FE

* refactor audio decoder -> audio encoder for consistency with previous musicgen

* refactor conditional -> encoder

* modify sampling rate logics

* modify license at the beginning

* refactor all_self_attns->all_attentions

* remove ignore copy from causallm generate

* add copied from for from_sub_models

* fix make copies

* add warning if audio is truncated

* add copied from where relevant

* remove artefact

* fix convert script

* fix torchaudio and FE

* modify chroma method according to feedback-> better naming

* refactor input_values->input_features

* refactor input_values->input_features and fix import fe

* add input_features to docstrigs

* correct inputs_embeds logics

* remove dtype conversion

* refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation

* change warning for chroma length

* Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* change way to save wav, using soundfile

* correct docs and change to soundfile

* fix import

* fix init proj layers

* remove line breaks from md

* fix issue with docstrings

* add FE suggestions

* improve is in logics and remove useless imports

* remove custom from_pretrained

* simplify docstring code

* add suggestions for modeling tests

* make style

* update converting script with sanity check

* remove encoder attention mask from conditional generation

* replace musicgen melody checkpoints with official orga

* rename ylacombe->facebook in checkpoints

* fix copies

* remove unecessary warning

* add shape in code docstrings

* add files to slow doc tests

* fix md bug and add md to not_tested

* make fix-copies

* fix hidden states test and batching

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Cohere Model Release (#1)

Cohere Model Release

* Remove unnecessary files and code (#2)

Some cleanup

* Delete cohere-model directory (#3)

* Make Fix (#5)

* Pr fixes (#6)

* fixes for pr

* pr fixes for the format

* pr fixes for the format

* src/transformers/models/auto/tokenization_auto.py

* Tokenizer test (#8)

* tokenizer test

* format fix

* Adding Docs and other minor changes (#7)

* Add modeling tests (#9)

* Smol Fix (#11)

* tokenization tests are fixed

* format fixes

* fix pr doc tests

* fix pr doc tests

* fix pr doc tests

* fix pr style check

* small changes in cohere.md

* FIX: Address final comments for transformers integration (#13)

* fix modeling final nits and add proper test file

* for now leave empty tests

* add integration test

* push new test

* fix modeling cohere (#14)

* Update chat templates to use the new API (#15)

---------

Co-authored-by: ahmetustun <ahmetustun89@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

Add newly added models to all README files.

Also fix one relative path in README_ru.md.

* Add missing localized READMEs to the copies check

* Run check to resolve all inconsistencies

* Add Tiếng Việt language support

* Add Vietnamese translation link to README.md

* update README_vi.md

* Fix missing translation in README_ru

* Update README_ru.md

Co-authored-by: Maria Khalusova <kafooster@gmail.com>

---------

Co-authored-by: Maria Khalusova <kafooster@gmail.com>

* Script & Manual edition

* Update

* Translate README.md to German

* Add links to README_de.md

* Remove invisible characters in README

* Change to a formal tone and fix punctuation marks

* Add missing entries to the language selector

* Add links to the Colab and AWS Studio notebooks for ONNX

* Use anchor links in CONTRIBUTING.md

* Fix broken hyperlinks due to spaces

* Fix links to OpenAI research articles

* Remove confusing footnote symbols from author names, as they are also considered invalid markup

* doc: french README

Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add Depth Anything

Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add french link in other docs

Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add missing links in fr docs

* doc: fix several mistakes in translation

Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

---------

Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>
Co-authored-by: Sarapuce <alexandreh@padok.fr>

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Switch to the conda-forge channel for transformer installation,
as the huggingface channel does not offer the latest version.

Fixes #28248

* Add madlad-400 models

* Add madlad-400 to the doc table

* Update docs/source/en/model_doc/madlad-400.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fill missing details in documentation

* Update docs/source/en/model_doc/madlad-400.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Do not doctest madlad-400

Tests are timing out.

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* only dir not even init

* init

* tokenizer removed and reference of codegen added

* modeling file updated a lot remaining app_rotary_emb

* conversion script done

* conversion script fixed, a lot of factoring done and most tests pass

* added token_clf and extractive_QA_head

* integration tests pass

* flash attn tests pass!

* config done

* more docs in modeling file

* some style fix

* style and others

* doc test error fix

* more doc fix

* some attention fixes

* most fixes

* style and other fixes

* docs fix and config

* doc fix

* some comments

* conversion script updated

* conversion script updated

* Revert "conversion script updated"

This reverts commit e92378c54084ec0747041b113083d1746ecb6c7f.

* final comments

* add Phi to language_modeling.md

* edit phi.md file

* rebase and fix

* removed phi-1.5 example

* changed model_type from 'phi'->'mixformer-sequential'

* small change

* small change

* revert \small change

* changed mixformer-sequential->phi

* small change

* added phi-1.5 example instead of phi-1

* doc test might pass now

* rebase and small change

* added the dropout layer

* more fixes

* modified .md file

* very very small doc change

* Create index.md

* Create _toctree.yml

* Updated index.md in telugu

* Update _toctree.yml

* Create quicktour.md

* Update quicktour.md

* Create index.md

* Update quicktour.md

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Delete docs/source/hi/index.md

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/te/quicktour.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update build_documentation.yml

Added telugu [te]

* Update build_pr_documentation.yml

Added Telugu [te]

* Update _toctree.yml

* Create README_te.md

Telugu translation for README.md

* Update README_te.md

Added Telugu translation for Readme.md

* Update README_te.md

* Update README_te.md

* Update README_te.md

* Update README_te.md

* Update README.md

* Update README_es.md

* Update README_es.md

* Update README_hd.md

* Update README_ja.md

* Update README_ko.md

* Update README_pt-br.md

* Update README_ru.md

* Update README_zh-hans.md

* Update README_zh-hant.md

* Update README_te.md

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

Update README_ru.md

Corrected modalities description in README

* initial commit

* add processor, add fuyu naming

* add draft processor

* fix processor

* remove dropout to fix loading of weights

* add image processing fixes from Pedro

* fix

* fix processor

* add basic processing fuyu test

* add documentation and TODO

* address comments, add tests, add doc

* replace assert with torch asserts

* add Mixins and fix tests

* clean imports

* add model tester, clean imports

* fix embedding test

* add updated tests from pre-release model

* Processor: return input_ids used for inference

* separate processing and model tests

* relax test tolerance for embeddings

* add test for logit comparison

* make sure fuyu image processor is imported in the init

* fix formattingh

* more formatting issues

* and more

* fixups

* remove some stuff

* nits

* update init

* remove the fuyu file

* Update integration test with release model

* Update conversion script.

The projection is not used, as confirmed by the authors.

* improve geenration

* Remove duplicate function

* Trickle down patches to model call

* processing fuyu updates

* remove things

* fix prepare_inputs_for_generation to fix generate()

* remove model_input

* update

* add generation tests

* nits

* draft leverage automodel and autoconfig

* nits

* fix dtype patch

* address comments, update READMEs and doc, include tests

* add working processing test, remove refs to subsequences

* add tests, remove Sequence classification

* processing

* update

* update the conversion script

* more processing cleanup

* safe import

* take out ModelTesterMixin for early release

* more cl;eanup

* more cleanup

* more cleanup

* and more

* register a buffer

* nits

* add postprocessing of generate output

* nits

* updates

* add one working test

* fix test

* make fixup works

* fixup

* Arthur's updates

* nits

* update

* update

* fix processor

* update tests

* passe more fixups

* fix

* nits

* don't import torch

* skip fuyu config for now

* fixup done

* fixup

* update

* oups

* nits

* Use input embeddings

* no buffer

* update

* styling processing fuyu

* fix test

* update licence

* protect torch import

* fixup and update not doctested

* kwargs should be passed

* udpates

* update the impofixuprts in the test

* protect import

* protecting imports

* protect imports in type checking

* add testing decorators

* protect top level import structure

* fix typo

* fix check init

* move requires_backend to functions

* Imports

* Protect types

---------

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Lysandre <lysandre@huggingface.co>

* Add Russian localization

* typo

* mistake in link

* Update README_ru.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update README_ru.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* First draft

* Simplify image processor

* Fix rebase

* Address comments

* Address more comments

* Address more comments

* Address more comments

* Address more comments

* Improve pad_image

* Add tests

* Update integration test

* Fix image processor tests

* Fix model tests

* Convert checkpoints

* Fix doc tests

* Remove file

* Apply suggestions

* Address comments

* Fix typing hint

* Add batch_norm_eps

* Address comments

* Fix style

* add Bros boilerplate

* copy and pasted modeling_bros.py from official Bros repo

* update copyright of bros files

* copy tokenization_bros.py from official repo and update import path

* copy tokenization_bros_fast.py from official repo and update import path

* copy configuration_bros.py from official repo and update import path

* remove trailing period in copyright line

* copy and paste bros/__init__.py from official repo

* save formatting

* remove unused unnecessary pe_type argument - using only crel type

* resolve import issue

* remove unused model classes

* remove unnecessary tests

* remove unused classes

* fix original code's bug - layer_module's argument order

* clean up modeling auto

* add bbox to prepare_config_and_inputs

* set temporary value to hidden_size (32 is too low because of the of the
Bros' positional embedding)

* remove decoder test, update create_and_check* input arguemnts

* add missing variable to model tests

* do make fixup

* update bros.mdx

* add boilerate plate for no_head inference test

* update BROS_PRETRAINED_MODEL_ARCHIVE_LIST (add naver-clova-ocr prefix)

* add prepare_bros_batch_inputs function

* update modeling_common to add bbox inputs in Bros Model Test

* remove unnecessary model inference

* add test case

* add model_doc

* add test case for token_classification

* apply fixup

* update modeling code

* update BrosForTokenClassification loss calculation logic

* revert logits preprocessing logic to make sure logits have original shape

* - update class name

* - add BrosSpadeOutput
- update BrosConfig arguments

* add boilerate plate for no_head inference test

* add prepare_bros_batch_inputs function

* add test case

* add test case for token_classification

* update modeling code

* update BrosForTokenClassification loss calculation logic

* revert logits preprocessing logic to make sure logits have original shape

* apply masking on the fly

* add BrosSpadeForTokenLinking

* update class name
put docstring to the beginning of the file

* separate the logits calculation logic and loss calculation logic

* update logic for loss calculation so that logits shape doesn't change
when return

* update typo

* update prepare_config_and_inputs

* update dummy node initialization

* update last_hidden_states getting logic to consider when return_dict is False

* update box first token mask param

* bugfix: remove random attention mask generation

* update keys to ignore on load missing

* run make style and quality

* apply make style and quality of other codes

* update box_first_token_mask to bool type

* update index.md

* apply make style and quality

* apply make fix-copies

* pass check_repo

* update bros model doc

* docstring bugfix fix

* add checkpoint for doc, tokenizer for doc

* Update README.md

* Update docs/source/en/model_doc/bros.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update bros.md

* Update src/transformers/__init__.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/bros.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* apply suggestions from code review

* apply suggestions from code review

* revert test_processor_markuplm.py

* Update test_processor_markuplm.py

* apply suggestions from code review

* apply suggestions from code review

* apply suggestions from code review

* update BrosSpadeELForTokenClassification head name to entity linker

* add doc string for config params

* update class, var names to more explicit and apply suggestions from code review

* remove unnecessary keys to ignore

* update relation extractor to be initialized with config

* add bros processor

* apply make style and quality

* update bros.md

* remove bros tokenizer, add bros processor that wraps bert tokenizer

* revert change

* apply make fix-copies

* update processor code, update itc -> initial token, stc -> subsequent token

* add type hint

* remove unnecessary condition branches in embedding forward

* fix auto tokenizer fail

* update docstring for each classes

* update bbox input dimension as standard 2 points and convert them to 4
points in forward pass

* update bros docs

* apply suggestions from code review : update Bros -> BROS in bros.md

* 1. box prefix var -> bbox
2. update variable names to be more explicit

* replace einsum with torch matmul

* apply style and quality

* remove unused argument

* remove unused arguments

* update docstrings

* apply suggestions from code review: add BrosBboxEmbeddings, replace
einsum with classical matrix operations

* revert einsum update

* update bros processor

* apply suggestions from code review

* add conversion script for bros

* Apply suggestions from code review

* fix readme

* apply fix-copies

---------

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* intiial commit

* updates

* nits

* update conversion script

* update conversion script

* use path to load

* add tips etc

* some modeling logic

* modeling update

* more nits

* nits

* normal layer norm

* update config and doc

* nits

* update doc remove unused

* update

* fix inits and stuff

* fixup

* revert wrong changes

* updates

* more nits

* add default config values to the configuration file

* fixup happy

* update

* 2 tests left

* update readmes

* more nits

* slow test and more documentation

* update readme

* fix licences

* styling

* use fast if possible when saving tokenizer

* remove todo

* remove tokenization tests

* small last nits

* Apply suggestions from code review

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* nits to skip the timout doctest

* fix integration test

* fix test

* update eos token

* update to allow fast tokenization

* styling

* fix codeLlama as well for the update post processor

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add more copied from statements

* update

* doc passes doctest

* remove `# final layer norm?`

* change docstring prompot

* update

* Update README.md

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* don't doctest the conversion script as it requires more packages

* don't init a model in the config

* oups

* fix doctest

---------

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Added HerBERT to README.md

* Update README.md to contain HerBERT (#26016)

* Resolved #26016: Updated READMEs and index.md to contain Herbert

Updated READMEs and ran make fix-copies

* add VITS model

* let's vits

* finish TextEncoder (mostly)

* rename VITS to Vits

* add StochasticDurationPredictor

* ads flow model

* add generator

* correctly set vocab size

* add tokenizer

* remove processor & feature extractor

* add PosteriorEncoder

* add missing weights to SDP

* also convert LJSpeech and VCTK checkpoints

* add training stuff in forward

* add placeholder tests for tokenizer

* add placeholder tests for model

* starting cleanup

* let the great renaming begin!

* use config

* global_conditioning

* more cleaning

* renaming variables

* more renaming

* more renaming

* it never ends

* reticulating the splines

* more renaming

* HiFi-GAN

* doc strings for main model

* fixup

* fix-copies

* don't make it a PreTrainedModel

* fixup

* rename config options

* remove training logic from forward pass

* simplify relative position

* use actual checkpoint

* style

* PR review fixes

* more review changes

* fixup

* more unit tests

* fixup

* fix doc test

* add integration test

* improve tokenizer tests

* add tokenizer integration test

* fix tests on GPU (gave OOM)

* conversion script can handle repos from hub

* add conversion script for all MMS-TTS checkpoints

* automatically create a README for the converted checkpoint

* small changes to config

* push README to hub

* only show uroman note for checkpoints that need it

* remove conversion script because code formatting breaks the readme

* make WaveNet layers configurable

* rename variables

* simplifying the math

* output attentions and hidden states

* remove VitsFlip in flow model

* also got rid of the other flip

* fix tests

* rename more variables

* rename tokenizer, add phonemization

* raise error when phonemizer missing

* re-order config docstrings to match method

* change config naming

* remove redundant str -> list

* fix copyright: vits authors -> kakao enterprise

* (mean, log_variances) -> (prior_mean, prior_log_variances)

* if return dict -> if not return dict

* speed -> speaking rate

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update fused tanh sigmoid

* reduce dims in tester

* audio -> output_values

* audio -> output_values in tuple out

* fix return type

* fix return type

* make _unconstrained_rational_quadratic_spline a function

* all nn's to accept a config

* add spectro to output

* move {speaking rate, noise scale, noise scale duration} to config

* path -> attn_path

* idxs -> valid idxs -> padded idxs

* output values -> waveform

* use config for attention

* make generation work

* harden integration test

* add spectrogram to dict output

* tokenizer refactor

* make style

* remove 'fake' padding token

* harden tokenizer tests

* ron norm test

* fprop / save tests deterministic

* move uroman to tokenizer as much as possible

* better logger message

* fix vivit imports

* add uroman integration test

* make style

* up

* matthijs -> sanchit-gandhi

* fix tokenizer test

* make fix-copies

* fix dict comprehension

* fix config tests

* fix model tests

* make outputs consistent with reverse/not reverse

* fix key concat

* more model details

* add author

* return dict

* speaker error

* labels error

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vits/convert_original_checkpoint.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove uromanize

* add docstrings

* add docstrings for tokenizer

* upper-case skip messages

* fix return dict

* style

* finish tests

* update checkpoints

* make style

* remove doctest file

* revert

* fix docstring

* fix tokenizer

* remove uroman integration test

* add sampling rate

* fix docs / docstrings

* style

* add sr to model output

* fix outputs

* style / copies

* fix docstring

* fix copies

* remove sr from model outputs

* Update utils/documentation_tests.txt

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add sr as allowed attr

---------

Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* return when length is zero

* Add tests

Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* Co-authored-by: avnishn
<38871737+avnishn@users.noreply.github.com>

* codeLlama doc should not be on Main

* update test

---------

Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* First draft

* Fix READMEs

* Update return_dict

* Add more tests

* Fix docstrings

* Address comments

* Address more comments

* Address more comments

* Address more comments, fix test

* Fix test

* add all

* Revert "Delete .github directory"

This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.

* make conversion script backward compatible

* fixup

* more styling

* copy to llama changes

* fix repo consistency

* nits

* document correct classes

* updates

* more fixes

* nits

* update auto mappings

* add readmes

* smallupdates

* llama-code replace with llama_code

* make fixup

* updates to the testsing suite

* fix fast nits

* more small fixes

* fix decode

* fix template processing

* properly reset the normalizer

* nits processor

* tokenization tests pass

* styling

* last tests

* additional nits

* one test is left

* nits

Co-authored-by faabian <faabian@users.noreply.github.com>

* update failing test

* fixup

* remove decode infilling users should handle it on their onw after generation, padding can be a problem

* update

* make test slow and more meaningfull

* fixup

* doc update

* fixup

* Apply suggestions from code review

* add kwargs doc

* tokenizer requires `requires_backend`

* type requires_backends

* CodeLlama instead of LlamaCode

* more name cahnges

* nits

* make doctests happy

* small pipeline nits

* last nit

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update

* add codellama to toctree

---------

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>