GitLab

* First draft

* More improvements

* Add backbone, first draft of ViT hybrid

* Add AutoBackbone

* More improvements

* Fix bug

* More improvements

* More improvements

* Convert ViT-hybrid

* More improvements

* add patch bit

* Fix style

* Improve code

* cleaned v1

* more cleaning

* more refactoring

* Improve models, add tests

* Add docs and tests

* Make more tests pass

* Improve default backbone config

* Update model_type

* Fix more tests

* Add more copied from statements

* More improvements

* Add push to hub to conversion scripts

* clean

* more cleanup

* clean

* replace to

* fix

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

* fix base model prefix

* more cleaning

* get rid of stem

* clean

* replace flag

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

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

* add check

* another check

* fix for hybrid vit

* final fix

* update config

* fix class name

* fix `make fix-copies`

* remove `use_activation`

* Update src/transformers/models/bit/configuration_bit.py

* rm unneeded file

* Add BiT image processor

* rm unneeded file

* add doc

* Add image processor to conversion script

* Add ViTHybrid image processor

* Add resources

* Move bit to correct position

* Fix auto mapping

* Rename hybrid to Hybrid

* Fix name in toctree

* Fix READMEs'

* Improve config

* Simplify GroupNormActivation layer

* fix test + make style

* Improve config

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

* remove comment

* remove comment

* replace

* replace

* remove all conv_layer

* refactor norm_layer

* revert x

* add copied from

* last changes + integration tests

* make fixup

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

* fix name

* fix message

* remove assert and refactor

* refactor + make fixup

* refactor - add  + sfety checker

* fix docstring + checkpoint names

* fix merge issues

* fix function name

* fix copies

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

* fix model checkpoint

* fix doctest output

* vit name on doc

* fix name on doc

* fix small nits

* fixed integration tests

* final changes - slow tests pass
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update actions versions

* update actions versions

* update actions versions

* update actions versions
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Created README_hd.md

A Hindi Translation for README

* updated check_copies.py

Added the Proper info for Hindi Translation of README File !

* updated README_hd.md

Fixed some translation issues !

* Update README_hd.md

* Update README_hd.md

* Update README_hd.md

* fixing 🐛 for `make fix-copies`

* run `make fix-copies`

* `make fix-copies` 😅

Co-authored-by: Akshit Gulyan <103456810+AkshitGulyan@users.noreply.github.com>

* init chinese-clip model from clip

* init model tests and docs

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* update usecase example in model implementation

* fix codestyle

* fix model_type typo in readme

* add placeholder in doc

* add placeholder in doc

* update the init script

* update usecase

* fix codestyle

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* forward the convert_rgb

* update testcase

* update testcase

* update testcase

* merge the recent update from clip about model_input_name property

* update the doc

* update the doc

* update the doc

* update the doc

* remove unused imports

* reformat code style

* update the doc

* fix isort style

* bypass a weird failed unit test which is unrelated with my PR

* update the doc

* implement independent vision config class

* implement independent vision model class

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* doc-build restyle

* implement independent text config class

* implement independent text model class

* implement independent text model class

* make style

* make fix-copies

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* update doc

* black and isort

* update doc

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

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

* modify the model type from chinese-clip to chinese_clip

* format the example comment of ChineseCLIPVisionConfig

* correct the copyright comment

* fix the tokenizer specification

* add copied from for loss function

* remove unused class

* update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING

* update CHINESE_CLIP_INPUTS_DOCSTRING

* update doc

* update doc

* update code comment in config

* update copied from statement

* make style

* rename the doc file

* add copied statement

* remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder

* remove ChineseCLIPTextPreTrainedModel

* fix bug

* fix bug

* fix bug

* update doc

* make style

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

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

* update ChineseCLIPImageProcessor in image_processing_auto

* fix config_class of chinesecliptextmodel

* fix the test case

* update the docs

* remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class

* update the testcase

* final fix
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>

* Fix init import_structure sorting

* Fix rebase

* extract warning from CI artifacts

* fix path

* fix logic

* fix comment

* update default values
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* First draft

* Fix backwards compatibility

* More fixes

* More fixes

* Make backbone more general

* Improve backbone

* Improve test

* Fix config checkpoint

* Address comments

* Use model_type

* Address more comments

* Fix special model names

* Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init

* Fix typo

* Update backbone

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

* Add hidden states and attentions to backbone outputs

* Update ResNet

* Fix more tests

* Debug test

* Fix test_determinism

* Fix test_save_load

* Remove file

* Disable fx tests

* Test

* Add fx support for backbones
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* fsmt doctest

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

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

* First draft

* Make conversion script work

* Add id2label mapping, run code quality

* Fix copies

* Add first draft of feature extractor

* Update conversion script to use feature extractor

* Make more tests pass

* Add docs

* update input_features to input_values + pad by default to max length

* Fix doc tests

* Add feature extractor tests

* Add proper padding/truncation to feature extractor

* Add support for conversion of all audioset checkpoints

* Improve docs and extend conversion script

* Fix README

* Rename spectogram to spectrogram

* Fix copies

* Add integration test

* Remove dummy conv

* Update to ast

* Update organization

* Fix init

* Rename model to AST

* Add require_torchaudio annotator

* Move import of ASTFeatureExtractor under a is_speech_available

* Fix rebase

* Add pipeline config

* Update name of classifier head

* Rename time_dimension and frequency_dimension for clarity

* Remove print statement

* Fix pipeline test

* Fix pipeline test

* Fix index table

* Fix init

* Fix conversion script

* Rename to ForAudioClassification

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

* 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

remove main from doc link

fixes

fix tests

fix up

use google org

fix weird assert

* fixup

* use google organization for checkpoints

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

* Add DiNAT

* Adds DiNAT + tests

* Minor fixes

* Added HF model

* Add natten to dependencies.

* Cleanup

* Minor fixup

* Reformat

* Optional NATTEN import.

* Reformat & add doc to _toctree

* Reformat (finally)

* Dummy objects for DiNAT

* Add NAT + minor changes

Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.

* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests

* Minor fixes.

* Fix READMEs.

* Requested changes to docs + minor fixes.

* Requested changes.

* Add NAT/DiNAT tests to layoutlm_job

* Correction to Dinat doc.

* Requested changes.

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

* Add ResNetBackbone

* Define channels and strides as property

* Remove file

* Add test for backbone

* Update BackboneOutput class

* Remove strides property

* Fix docstring

* Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE

* Fix auto mapping name

* Add sanity check for out_features

* Set stage names based on depths

* Update to tuple
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add docstrings for canine model

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

* Update configuration_deformable_detr.py comment

* Add DeformableDetrConfig to documentation_tests.txt

* Adding ASR pipeline example.

* De indent.

* Example deindent.

* Fixing example ?

* Putting the example in a more prominent place.

* Fixup.

* Adding the file.

* Adding the doctest to the daily test.

* Fixing comments.

* transcriber name.

* Adding `>>>`.

* Removing assert.

* 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>

* 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>

* 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>

* 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

* Improve tiny model creation script

* sort the list of models to upload
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 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 example docstring for DPRConfig

* Add DPRConfig to documentation_tests

* Add example docstring for CamembertConfig

* Add configuration_camembert to documentation_tests

* Add example docstring for DebertaV2Config

* Add DebertaV2Config to documentation_tests

* Fix mistake with directory name

* Add japanese translated README.md

* Add README_ja.md link

* Add japanese transkate to check_copies.py

* Add guide to Japanese README.md

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

* Update utils/check_copies.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* 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 Example docstring to DebertaConfig

* Add configuration_deberta to documentation_tests

* Add microsoft/deberta-base to example docstring

* Fix example docstring mistake

* create dummy models

* quality

* update

* update

* Make Wav2Vec2Conformer work

* style

* deal with models with text_config and vision_config

* apply suggestions

* Composite models

* style

* style

* fix shape issue

* fix shape issue

* For VisionTextDualEncoderModel

* show_progress=False when converting tokenizers

* Fix for OwlViT

* Fix for VisualBert

* Update

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

* For CLIP

* Others

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

* Update documentation_tests.txt

* Update configuration_mbart.py

* Update configuration_mctct.py

* Update configuration_layoutlm.py

* Update configuration_layoutlmv2.py

* Update configuration_layoutlmv3.py

* Update documentation_tests.txt

* print first diff line intead of first code part line

* fix style