* [i18n-zh] Sync source/zh/index.md

* apply review comments

* better unmask imple

* comment

* typo

* bug report pytorch

* cleanup

* fix import

* add back example

* retrigger ci

* come on

* [CI] Quantization workflow

* build dockerfile

* fix dockerfile

* update self-cheduled.yml

* test build dockerfile on push

* fix torch install

* udapte to python 3.10

* update aqlm version

* uncomment build dockerfile

* tests if the scheduler works

* fix docker

* do not trigger on psuh again

* add additional runs

* test again

* all good

* style

* Update .github/workflows/self-scheduled.yml

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* test build dockerfile with torch 2.2.0

* fix extra

* clean

* revert changes

* Revert "revert changes"

This reverts commit 4cb52b8822da9d1786a821a33e867e4fcc00d8fd.

* revert correct change

---------

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Co-authored-by: Joao Gante <joao@huggingface.co>

* Update modeling_llama.py

Llama - Force float32 since bfloat16 loses precision on long contexts

* Update modeling_llama.py

* Update modeling_gemma.py

Fix RoPE and logits.float()

* @torch.no_grad()

* @torch.no_grad()

* Cos, Sin to float32

* cos, sin to float32

* Update src/transformers/models/gemma/modeling_gemma.py

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* Update src/transformers/models/llama/modeling_llama.py

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* Resolve PR conflicts

* Fix RoPE for llama

* Revert "Fix RoPE for llama"

This reverts commit b860a22dab9bb01cd15cb9a3220abeaefad3e458.

* Fix RoPE for llama

* RoPE device

* Autocast device type

* RoPE

* RoPE isinstance

---------

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* Set output_router_logits=False in prepare_inputs_for_generation for mixtral

* Add output_router_logits=False to prepare_inputs_for_generation for mixtral

* Fix style

* remove control flow

* update gptneox

* update ....

* nits

* Actually let's just break. Otherwise we are silently failing which imo is not optimal

* version BC

* fix tests

* fix eager causal

* nit

* add a test

* style

* nits

* nits

* more nits for the test

* update and fix

* make sure cuda graphs are not skipped

* read token is needed for meta llama

* update!

* fiixup

* compile test should be slow

* fix thet fix copies

* stle 🫠

* remove warning

* add co-author

* update

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

fix wrapper

* remove numpy usage from owlvit

* fix init owlv2

* style

* pu hf token in gemma tests

* update suggestion

* add to flax

* revert

* fix

* fixup

* forward contrib credits from discussion

---------

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

* Copy model

* changes

* misc

* fixes

* add embed and residual dropout (#30)

* misc

* remove rms norm and gated MLP

* remove copied mentions where its not a copy anymore

* remove unused _shape

* copied from mistral instead

* fix copies

* fix copies

* add not doctested

* fix

* fix copyright

* Update docs/source/en/model_doc/starcoder2.md

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* Update src/transformers/models/starcoder2/configuration_starcoder2.py

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* Update src/transformers/models/starcoder2/configuration_starcoder2.py

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* fix doc

* revert some changes

* add fa2 tests

* fix styling nit

* fix

* push dummy docs

---------

Co-authored-by: Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
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* [i18n-zh] Translate fsdp.md into Chinese

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* apply suggestions from Fan-Lin

---------

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Co-authored-by: Joao Gante <joao@huggingface.co>

* Add compatibility with mps device

* fix

* typo and style

update

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* add xpu for benchmark

* no auto_map

* use require_torch_gpu

* use gpu

* revert

* revert

* fix style

fix

* Image Feature Extraction docs

* Update docs/source/en/tasks/image_feature_extraction.md

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* Update image_feature_extraction.md

* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Address comments

* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update docs/source/en/tasks/image_feature_extraction.md

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* Update image_feature_extraction.md

* Update image_feature_extraction.md

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---------

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

Cleaner Cache `dtype` and `device` extraction for CUDA graph generation for quantizers compatibility (#29079)

* input_layernorm as the beacon of hope

* cleaner dtype extraction

* AQLM + CUDA graph test

* is available check

* shorter text test

GenerationConfig validate both options for constrained decoding: constraints and force_words_ids

* First commit

* Improvements

* More improvements

* Converted original checkpoint to HF checkpoint

* Fix style

* Fixed forward

* More improvements

* More improvements

* Update src/transformers/models/seggpt/modeling_seggpt.py

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

* Remove asserts

* Remove unnecessary attributes

* Changed model name to camel case

* Improve forward doc

* Improve tests

* More improvements

* Fix copies

* Fix doc

* Make SegGptImageProcessor more flexible

* Added few-shot test

* Fix style

* Update READMEs and docs

* Update READMEs

* Make inputs required

* Add SegGptForImageSegmentation

* Make tests pass

* Rename to out_indicies

* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Fixed naming convention

* Copying SegGptMlp from modeling_sam.py

* Some minor improvements

* Remove mlp_ratio

* Fix docstrings

* Fixed docstring match

* Objects defined before use

* Storing only patch_size and beta for SegGptLoss

* removed _prepare_inputs method

* Removed modified from headers

* Renamed to output_indicies

* Removed unnecessary einsums

* Update tests/models/seggpt/test_modeling_seggpt.py

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* Update tests/models/seggpt/test_modeling_seggpt.py

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* Update tests/models/seggpt/test_modeling_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Fixing issues

* Raise error as soon as possible

* More fixes

* Fix merge

* Added palette to SegGptImageProcessor

* Fixed typo

* Fixed shape typo

* Added permute before doing palette to class mapping

* Fixed style

* Fixed and added tests

* Fixed docstrings

* Matching SegFormer API for post_processing_semantic_segmentation

* Fixed copies

* Fixed SegGptImageProcessor to handle both binary and RGB masks

* Updated docstrings of SegGptImageProcessor

* Update src/transformers/models/seggpt/image_processing_seggpt.py

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

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* Update src/transformers/models/seggpt/configuration_seggpt.py

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* Update src/transformers/models/seggpt/convert_seggpt_to_hf.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update tests/models/seggpt/test_image_processing_seggpt.py

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* Update tests/models/seggpt/test_modeling_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Object definitions above & fix style

* Renamed output_indices to intermediate_feature_indices

* Removed unnecessary check on bool_masked_pos

* Loss first in the outputs

* Added validation for do_normalize

* Improved SegGptImageProcessor and added new tests

* Added comment

* Added docstrings to SegGptLoss

* Reimplemented ensemble condition logic in SegGptEncoder

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

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Update src/transformers/models/seggpt/convert_seggpt_to_hf.py

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* Update src/transformers/models/seggpt/configuration_seggpt.py

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* Updated docstrings to use post_process_semantic_segmentation

* Fixed typo on docstrings

* moved pixel values test to test_image_processing_seggpt

* Addressed comments

* Update src/transformers/models/seggpt/configuration_seggpt.py

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* Update src/transformers/models/seggpt/image_processing_seggpt.py

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* Update src/transformers/models/seggpt/configuration_seggpt.py

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* Update src/transformers/models/seggpt/modeling_seggpt.py

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* Updated docstrings for SegGptLoss

* Address comments

* Added SegGpt example to model docs

* Update src/transformers/models/seggpt/modeling_seggpt.py

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* moved patchify and unpatchify

* Rename checkpoint

* Renamed intermediate_features to intermediate_hidden_states for consistency

* Update src/transformers/models/seggpt/configuration_seggpt.py

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

* Replaced post_process_masks for post_process_semantic_segmentation in the docs

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels <niels.rogge1@gmail.com>
Co-authored-by: Eduardo Pacheco <eduardo.pacheco@limehome.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [zh] Translate a task: asr.md

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* apply suggestions from Fan-Lin

---------

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* Add Tiếng Việt language support

* Add Vietnamese translation link to README.md

* update README_vi.md

* [Pix2struct] Simplify generation (#22527)

* Add model to doc tests

* Remove generate and replace by prepare_inputs_for_generation

* More fixes

* Remove print statements

* Update integration tests

* Fix generate

* Remove model from auto mapping

* Use auto processor

* Fix integration tests

* Fix test

* Add inference code snippet

* Remove is_encoder_decoder

* Update docs

* Remove notebook link

* Release: v4.28.0

* Revert (for now) the change on `Deta` in #22437 (#22750)

fix

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

* Patch release: v4.28.1

* update zh chat template.

* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/_toctree.yml

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* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/chat_templating.md

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* Update docs/source/zh/chat_templating.md

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---------

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Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Co-authored-by: Michael <haifeng.yao@daocloud.io>

Signed-off-by: windsonsea <haifeng.yao@daocloud.io>

* Add tasks_explained.md to es/

* Fix little typo in en/ version

* translate speach/audio section

* translate part of vision computer section | fix little typo in en/

* Fix little typo in en/

* Translate vision computer section | remove ** ** to * * in both files

* Translate NLP section | fix link to task/translation in en/

* Updete link in es/tasks_summary.md

* Fix task_summary title link

use torch.bool instead of torch.int64

* add feature extraction mapping

* added prefix

* ruff check

* minor fix

* Update modeling_auto.py

* fix typo

* remove prefix to make variable public/importable

* Update src/transformers/models/auto/modeling_auto.py

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

* fixes

* addressed comments

* nit

* fix-copies

* remove from tests

* this should fix

* Update tests/models/convnextv2/test_modeling_convnextv2.py

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* nits

---------

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* add conftest

* fix

* remove deselected