GitLab

* Add to DeBERTa resources

* Fix mistakes with chapter number

* Add fill-mask pipeline

* Add sequence, token and QA pipeline

* Change token classification pipeline order

* Remove flax script and notebook links

* allow loading projection in text and vision model

* begin tests

* finish test for CLIPTextModelTest

* style

* add slow tests

* add new classes for projection heads

* remove with_projection

* add in init

* add in doc

* fix tests

* fix some more tests

* fix copies

* fix docs

* remove leftover from fix-copies

* add the head models in IGNORE_NON_AUTO_CONFIGURED

* fix docstr

* fix tests

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add docstr for models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Init Update

* ClearML Callbacks integration

* update corrections

* args reporting updated

* {'tensorboard': False, 'pytorch': False}

* ClearML Tests added

* add clearml

* output_uri=True in Task.init

* reformatted integrations.py

* reformatted and fixed

* IF-ELSE statement issue on "has_clearml" resolved

* Add clearml in main callback docs

* Add additional clearml documentation

* Update src/transformers/integrations.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

* Small change in comments

* Make style clearml

* Accept suggestion
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Victor Sonck <victor.sonck@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add transforms for object detection

* Update src/transformers/image_transforms.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Better var names & docstring

* Remove unused var desc in docstring

* Update src/transformers/image_transforms.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* first commit

* add more comments

* add router v1

* clean up

- remove `tf` modeling files

* clean up

- remove `tf` modeling files

* clean up

* v0 routers

* added more router

- Implemented `ExpertsChooseMaskedRouter`

- added tests
- 2 more routers to implement

* last router

* improved docstring

- completed the docstring in `router.py`
- added more args in the config

* v0 sparse mlp

* replace wrong naming

* forward pass run

* update MOE layer

* small router update

* fixup

* consistency

* remove scatter router

* remove abstract layer

* update test and model for integration testing

* v1 conversion

* update

* hardcode hack

* all keys match

* add gin conversion, without additional libraries

* update conversion sctipy

* delete router file

* update tests wrt router deletion

* fix router issues

* update expert code

* update, logits match, code needsREFACTORING

* Refactor code
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* add generate tests
Co-authored-by: younesbelkada <younesbelkada@gmail.com>

* add support for router loss
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* fix forward error

* refactor a bit

* remove `FlaxSwitchTransformers` modules

* more tests pass

* Update code
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* fixup

* fix tests

* fix doc

* fix doc + tokenization

* fix tokenizer test

* fix test

* fix loss output

* update code for backward pass

* add loss support

* update documentation

* fix documentation, clean tokenizer

* more doc fix, cleanup example_switch

* fix failing test

* fix test

* fix test

* fix loss issue

* move layer

* update doc and fix router capacity usage

* fixup

* add sparse mlp index for documentation on hub

* fixup

* test sparse mix architecture

* Apply suggestions from code review

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

* fixup on update

* fix tests

* fix another test

* attempt fix

* Update src/transformers/models/switch_transformers/configuration_switch_transformers.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/switch_transformers/convert_switch_transformers_original_flax_checkpoint_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* try

* all tests pass

* fix jitter noise

* Apply suggestions from code review

* doc tests pass

* Update src/transformers/models/switch_transformers/modeling_switch_transformers.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/switch_transformers/modeling_switch_transformers.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* remove assert

* change config order

* fix readme japanese

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove parallelizable tests + add one liners

* remove ONNX config

* fix nits

- add `T5Tokenizer` in auto mapping
- remove `Switch Transformers` from ONNX supported models

* remove `_get_router`

* remove asserts

* add check in test for `router_dtype`

* add `SwitchTransformersConfig` in `run_pipeline_test`

* Update tests/pipelines/test_pipelines_summarization.py

* add huge model conversion script

* fix slow tests

- add better casting for `Linear8bitLt`
- remove `torchscript` tests

* add make dir

* style on new script

* fix nits

- doctest
- remove `_keys_to_ignore_on_load_unexpected`

* Update src/transformers/models/switch_transformers/configuration_switch_transformers.py

* add google as authors

* fix year

* remove last `assert` statements

* standardize vertical spaces

* fix failing import

* fix another failing test

* Remove strange àuthorized_keys`

* removing todo and padding that is never used
Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: ybelkada <younes@huggingface.co>
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur Zucker <arthur@huggingface.co>

* docs: fix: set overflowing image width to auto-scale

* docs: fix: new language Korean is also affected

* docs: fix: unnecessary line break in index page

* First draft

* Remove scatter dependency

* Add require_torch

* update vectorized sum test, add clone call

* remove artifacts

* fix style

* fix style v2

* remove "scatter" mentions from the code base

* fix isort error
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add model files etc for MobileNetV2

* rename files for MobileNetV1

* initial implementation of MobileNetV1

* fix conversion script

* cleanup

* write docs

* tweaks

* fix conversion script

* extract hidden states

* fix test cases

* make fixup

* fixup it all

* rename V1 to V2

* fix checkpoints

* fixup

* implement first block + weight conversion

* add remaining layers

* add output stride and dilation

* fixup

* add tests

* add deeplabv3+ head

* a bit of fixup

* finish deeplab conversion

* add link to doc

* fix issue with JIT trace

in_height and in_width would be Tensor objects during JIT trace, which caused Core ML conversion to fail on the remainder op. By making them ints, the result of the padding calculation becomes a constant value.

* cleanup

* fix order of models

* fix rebase error

* remove main from doc link

* add image processor

* remove old feature extractor

* fix converter + other issues

* fixup

* fix unit test

* add to onnx tests (but these appear broken now)

* add post_process_semantic_segmentation

* use google org

* remove unused imports

* move args

* replace weird assert

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* Add resource

* Add tag
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

* AutoImageProcessor skeleton

* Update references

* Add mapping in init

* Add model image processors to __init__ for importing

* Add AutoImageProcessor tests

* Fix up

* Image Processor documentation

* Remove pdb

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

* Update docs

* Don't add whitespace on json files

* Remove fixtures

* Move checking model config down

* Fix up

* Add check for image processor

* Remove FeatureExtractorMixin in docstrings

* Rename model_tmpfile to config_tmpfile

* Don't make None if not in image processor map

* add roc_bert

* update roc_bert readme

* code style

* change name and delete unuse file

* udpate model file

* delete unuse log file

* delete tokenizer fast

* reformat code and change model file path

* add RocBertForPreTraining

* update docs

* delete wrong notes

* fix copies

* fix make repo-consistency error

* fix files are not present in the table of contents error

* change RocBert -> RoCBert

* add doc, add detail test
Co-authored-by: weiweishi <weiweishi@tencent.com>

* Add first draft

* Update conversion script

* Improve conversion script

* Improve conversion script some more

* Add conditional embeddings

* Add initial decoder

* Fix activation function of decoder

* Make decoder outputs match original implementation

* Make decoder outputs match original implementation

* Add more copied from statements

* Improve model outputs

* Fix auto tokenizer file

* Fix more tests

* Add test

* Improve README and docs, improve conditional embeddings

* Fix more tests

* Remove print statements

* Remove initial embeddings

* Improve conversion script

* Add interpolation of position embeddings

* Finish addition of interpolation of position embeddings

* Add support for refined checkpoint

* Fix refined checkpoint

* Remove unused parameter

* Improve conversion script

* Add support for training

* Fix conversion script

* Add CLIPSegFeatureExtractor

* Fix processor

* Fix CLIPSegProcessor

* Fix conversion script

* Fix most tests

* Fix equivalence test

* Fix README

* Add model to doc tests

* Use better variable name

* Convert other checkpoint as well

* Update config, add link to paper

* Add docs

* Update organization

* Replace base_model_prefix with clip

* Fix base_model_prefix

* Fix checkpoint of config

* Fix config checkpoint

* Remove file

* Use logits for output

* Fix tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* add new terms

* apply review

* docs: Fixed variables in f-strings

* Replace unknown `block` with known `block_type` in ValueError
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add missing torch import in docs code block
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* docs: Fix typo in ONNX parser help: 'tolerence' => 'tolerance'

* docs: Resolve many typos in the English docs

Typos found via 'codespell ./docs/source/en'

With https://github.com/TimDettmers/bitsandbytes, which is by the same author and is still being updated

Update documentation on seq2seq models with absolute positional embeddings, to be in line with Tips section for BERT and GPT2 (#20068)
Co-authored-by: jordiclive <jordiclive19@imperial.ac.uk>

* Update READMEs for ESMFold and add notebooks

* Fix PyCharm formatting

* make fix-copies

fix jit trace error for model forward sequence is not aligned with jit.trace tuple input sequence, update related doc (#19891)

* fix jit trace error for classification usecase, update related doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add implementation in torch 1.14.0
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update_doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update_doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* [Whisper Tokenizer] Make more user-friendly

* use property

* make indexing rigorous

* small clean-up

* tests

* skip seq2seq tests

* remove multilingual arg

* reorder args

* collapse to one function
Co-authored-by: ArthurZucker <arthur@huggingface.co>

* option to override attributes
Co-authored-by: ArthurZucker <arthur@huggingface.co>

* add to docs

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make comment more clear
Co-authored-by: sgugger <sylvain@huggingface.co>

* don't add special tokens in get_decoder_prompt_ids

* add test for set_prefix_tokens
Co-authored-by: ArthurZucker <arthur@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: sgugger <sylvain@huggingface.co>

* Add skip_special_tokens=True in some doctest

* For T5

* Fix for speech_to_text.mdx
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

* Add CLIP image processor

* Crop size as dict too

* Update warning

* Actually use logger this time

* Normalize doesn't change dtype of input

* Add perceiver image processor

* Tidy up

* Add DPT image processor

* Add Vilt image processor

* Tidy up

* Add poolformer image processor

* Tidy up

* Add LayoutLM v2 and v3 imsge processors

* Tidy up

* Add Flava image processor

* Tidy up

* Add deit image processor

* Tidy up

* Add ConvNext image processor

* Tidy up

* Add levit image processor

* Add segformer image processor

* Add in post processing

* Fix up

* Add ImageGPT image processor

* Fixup

* Add mobilevit image processor

* Tidy up

* Add postprocessing

* Fixup

* Add VideoMAE image processor

* Tidy up

* Add ImageGPT image processor

* Fixup

* Add ViT image processor

* Tidy up

* Add beit image processor

* Add mobilevit image processor

* Tidy up

* Add postprocessing

* Fixup

* Fix up

* Fix flava and remove tree module

* Fix image classification pipeline failing tests

* Update feature extractor in trainer scripts

* Update pad_if_smaller to accept tuple and int size

* Update for image segmentation pipeline

* Update src/transformers/models/perceiver/image_processing_perceiver.py
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* Update src/transformers/image_processing_utils.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/beit/image_processing_beit.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* PR comments - docstrings; remove accidentally added resize; var names

* Update docstrings

* Add exception if size is not in the right format

* Fix exception check

* Fix up

* Use shortest_edge in tuple in script
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add layoutlmv3 resource

* add layoutlmv2 resources

* fix button

* add resources for bert

* add course chapters

* apply reviews

* add pipeline icons and community resource

* fix buttons

* Added onnx config whisper

* added whisper support onnx

* add audio input data

* added whisper support onnx

* fixed the seqlength value

* Updated the whisper onnx ocnfig

* restore files to old version

* removed attention mask from inputs

* Updated get_dummy_input_onnxruntime docstring

* Updated relative imports and token generation

* update docstring

* initial commit

* First draft that gets outputs without crashing!

* Add all the ported openfold dependencies

* testing

* Restructure config files for ESMFold

* Debugging to find output discrepancies

* Mainly style

* Make model runnable without extra deps

* Remove utils and merge them to the modeling file

* Use correct gelu and remove some debug prints

* More cleanup

* Update esm docs

* Update conversion script to support ESMFold properly

* Port some top-level changes from ESMFold repo

* Expand EsmFold docstrings

* Make attention_mask optional (default to all 1s)

* Add inference test for ESMFold

* Use config and not n kwargs

* Add modeling output class

* Remove einops

* Remove chunking in ESM FFN

* Update tests for ESMFold

* Quality

* REpo consistency

* Remove tree dependency from ESMFold

* make fixup

* Add an error in case my structure map function breaks later

* Remove needless code

* Stop auto-casting the LM to float16 so CPU tests pass

* Stop auto-casting the LM to float16 so CPU tests pass

* Final test updates

* Split test file

* Copyright and quality

* Unpin PyTorch to see built doc

* Fix config file to_dict() method

* Add some docstrings to the output

* Skip TF checkpoint tests for ESM until we reupload those

* make fixup

* More docstrings

* Unpin to get even with main

* Flag example to write
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

* Add postprocessing methods

* Update docs

* Add fix

* Add test

* Add test for deformable detr postprocessing

* Add post processing methods for segmentation

* Update code examples

* Add post_process to make the pipeline work

* Apply updates
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* add wav2vec2 resources

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