Fix link typo of the following content.
PyTorch version, Trainer
PyTorch version, no Trainer

* fix marianMT convertion to onnx

* Update src/transformers/onnx/convert.py

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update src/transformers/onnx/convert.py

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Fixed duplicated line (paragraph #83) @omarespejel @sgugger

* Datasets map denomination fixed (paragraph 42)

* remove RobertaConfig inheritance from MarkupLMConfig

* Update src/transformers/models/markuplm/configuration_markuplm.py

fixed typo in docstring

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

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

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

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

* Rework pipeline tests

* Try to fix Flax tests

* Try to put it before

* Use a new decorator instead

* Remove ignore marker since it doesn't work

* Filter pipeline tests

* Woopsie

* Use the fitlered list

* Clean up and fake modif

* Remove init

* Revert fake modif

- Fixes the image segmentation pipeline test failures caused by changes to the postprocessing methods of supported models
- Updates the ImageSegmentationPipeline tests
- Improves docs, adds 'task' argument to optionally perform semantic, instance or panoptic segmentation

* Copied all the code required from transformers.models.bert.modeling_bert to here

* Fixed styling issues

* Reformatted copied names with Model specific name.

* Reverted BertEncoder part as there is already a class called BertGenerationEncoder

* Added prefixes in missing places.

Co-authored-by: vishwaspai <vishwas.pai@emplay.net>

* camembert tf version independent

* fixup

* fixup, all working

* remove comments

* Adding copied from roberta

Co-authored-by: Mustapha AJEGHRIR <mustapha.ajeghrir@kleegroup.com>

* Copied from BertTokenizer() in tokenization_bert

* Added BasicTokenizer and WordPieceTokenizer Class

* Update src/transformers/models/electra/tokenization_electra.py

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

* Added copied from comments for basicTokenizer and WordPieceTokenizer

* Updated the comments for the tokenizerClasses

* Update src/transformers/models/electra/tokenization_electra.py

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

* Update src/transformers/models/electra/tokenization_electra.py

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

* Formatted tokenization_electra with `make style`

* Fix repo inconsistencies

* Update src/transformers/models/electra/tokenization_electra.py

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

* Set the logger

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

* removed dependency from bart(slow)

* removed dependency from bart(slow)

* adding copying comments (copied from bart to led)

* updated led docstring

* updated led docstring

* removed dependency from Bart (fast)

* replaced bart with LED in docstrings

* complying flake8

* added more copy comments

* fixing copying comments

* added comments back

* fix copy comments

* fixing copied from comments

* fixing copied from comments

* add first generation tutorial

* uP

* [Clip] Add text model to device map

Co-authored-by: harry7337 <hari.8jan@gmail.com>

* Remove dependency of Bert from Squeezebert tokenizer

* run style corrections

* update copies from BertTokenizers

* Update changes and style to Squeezebert files

* update copies for bert-fast

* update feature extractor params

* update attention mask handling

* validate onnx models with a different input geometry than saved with

* only test working features for now

* simpler test skipping

* rm TODO

* expose batch_size/seq_length on vit

* skip certain name, feature, framework parameterizations known to fail validation

* Trigger CI

* Trigger CI

* edit: casting attention_mask to long in DataCollatorCTCWithPadding

* edit: casting attention_mask to long in DataCollatorCTCWithPadding

* Add ZeroShotObjectDetectionPipeline (#18445)

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add batching for ZeroShotObjectDetectionPipeline

* Fix doc-string ZeroShotObjectDetectionPipeline

* Fix output format: ZeroShotObjectDetectionPipeline

* HF <-> megatron checkpoint conversion handling reshaping from different tensor and parallel sizes

* Apply suggestions from code review

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

* addressing comments

* add doc strings and  

 fixes

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

* Added type hints for TF: TransfoXL
* Added type hints for TF: TransfoXL

* Change type hints for training

* Change type hints for training

* swin transformer onnx support

* Updated image dimensions as dynamic

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update modeling_tf_xlm.py

* Updates

* Update src/transformers/models/xlm/modeling_tf_xlm.py

* Update src/transformers/models/xlm/modeling_tf_xlm.py

* Update src/transformers/models/xlm/modeling_tf_xlm.py

* Update src/transformers/models/xlm/modeling_tf_xlm.py

* Update src/transformers/models/xlm/modeling_tf_xlm.py

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

* ConvBert

* added comment

* Updated

* Final_updates

* Update tokenization_convbert.py

* Update tokenization_convbert_fast.py

* Update tokenization_convbert.py

* Update tokenization_convbert.py

* Update tokenization_convbert_fast.py

* Update tokenization_convbert.py

* Update tokenization_convbert_fast.py

* Updates

* Updates

* Updated

* Final Updates

The link to https://github.com/vasudevgupta7/bigbird is vulnerable to repojacking (it redirects to the orignial project that changed name), you should change the link to the current name of the project. if you won't change the link, an attacker can open the linked repository and attacks users that trust your links

This PR aims to rectify the discrepancy between the training performances of HF and Timm ViT implementations.

- Initializes torch and flax ViT dense layer weights with trunc_normal instead of normal (consistent with the TF implementation.
- Initializes cls_token and positional_embeddings with trunc_normal
- Updates DeiT copy to reflect the changes

* Fix pipeline tests for Roberta-like tokenizers

* Fix fix

Ensures post_process_instance_segmentation and post_process_panoptic_segmentation methods return a tensor of shape (target_height, target_width) filled with -1 values if no segment with score > threshold is found.

* simplify loop

* add featur extractor

* add model

* start conversion

* add dropout

* initial commit of test files

* copnversion for all models

* update processor for correct padding

* update feature extraction

* update integration test logits match

* fmnt: off for the logits

* on the fly mel bank

* small nit

* update test

* update tokenizer

* nit feature extraction

* update

* update tokenizer test

* adds logit processor and update tokenizer to get supress tokens

* style

* clean convert

* revert to original modeling tf utils

* Update

* update

* nit

* clean convert file

* update tests and nits

* quality

* slow generation test

* ffn_dim to allow customization

* update readme

* add to toctreee

* start fixing integration tests

* update tests and code

* fix feature extractor

* fix config tests common

* update code to fix tests

* fix feature exctractor

* nit feature extraction

* update test for new feature extractor

* style

* add absrtact

* large logits wioth custom decoder input ids

* wraap around is otrch available

* fix feature extractor

* correct logits for whisper small.en

* nit

* fix encoder_attentino_mask

* some fixes

* remove unnecessary inputs

* nits

* add normalizer file

* update etst tokenization

* fix attention mask not defined

* Add model to README

* Fix doc tests

* fix generate

* remove uncoder attention mask useless

* update test modeling whisper

* update condfig to add second non supress tokens

* nits on feature exrtactor

* nit for test tokenizers

* update etsts

* update tests

* update tokenization test

* fixup

* invalidated hf token. Clean convert openai to whisper

* fix logit tests

* fixup

* clean merge

* revert toc_tree changes

* remove useless LogitProcessor

* Update whisper .mdx

* update config file doc

* update configuration docstring

* update test tokenization

* update test tokenization

* update tokenization whisper
Added copied from where needed

* update feature extraction

* nit test name

* style

* quality

* remove get suppress tokens and update non_speech tokens global variables

* Update src/transformers/models/whisper/feature_extraction_whisper.py

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* clean modeling whisper and test
Removed the attention mask arguments that are deprecated

* fix large test

* Add multilingual audio test, and translate test

* style

* fix larg multilingual test

* nits

* Update docs/source/en/model_doc/whisper.mdx

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add copied from for attention layer

* remove attention masks in doc

* add english normalizer

* update tokenization test

* remove copied from in whisper attention : no bias in k_proj only

* wrap around dependencies in english normalizer

* style

* correct import generation logits

* for now, wrap feature extractor with torch

* Update src/transformers/models/whisper/convert_openai_whisper_to_tfms.py

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

* Update src/transformers/models/whisper/configuration_whisper.py

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

* Update docs/source/en/model_doc/whisper.mdx

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

* remove torch depencies for feature extraction and style

* fixup

* nit

* update logitds

* style

* nit

* nits and fix final tests

* add `is_more_itertools_available` to utils

* quality

* add begin supress tokens, supress tokens to generate args and config

* clean supressTokensLogitProcessor in generation logits

* Nit naming

* add supressTokensAtBegin

* udpate tests, supress tokens to None or correct values

* nit and style

* update RAG to fit test and generate_logit

* add copy pasted statment on english normalizer

* add arguments to config_common_kwargs

* Update src/transformers/generation_utils.py

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

* Update src/transformers/generation_logits_process.py

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

* Update src/transformers/models/whisper/configuration_whisper.py

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

* Apply suggestions from code review

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* revert changes based on reviews

* update doc and nits

* more nits

* last nits

* update test configuration common

* add BART name in decoder attention mask documentation

* Update src/transformers/models/whisper/modeling_whisper.py

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

* style

* nit

* nit

* add english.json file to git

* nits on documentation

* nit

* nits

* last styling

* add main toctree file

* remove sentence piece dependency

* clean init file

* fix tokenizer that has no dependencies on sentencepiece

* update whisper init file, nit

* remove english.json file

* add get decoder prompt id

* revert changes and add forced logit processor

* nit

* clean normalizer

* remove protected

* update

* Update src/transformers/models/whisper/configuration_whisper.py

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

* update based on review

* Update src/transformers/models/whisper/configuration_whisper.py

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

* add batched tests

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Ensures post_process_instance_segmentation and post_process_panoptic_segmentation methods return a tensor of shape (target_height, target_width) filled with -1 values if no segment with score > threshold is found.

* removes roberta and bert config dependencies from longformer

* adds copied from statements

* fixes style

* removes excessive comments and replace bert with longformer in a couple places

* fixes style