GitLab

* First draft

* Improve script

* Update script

* Make conversion work

* Add final_layer_norm attribute to Swin's config

* Add DonutProcessor

* Convert more models

* Improve feature extractor and convert base models

* Fix bug

* Improve integration tests

* Improve integration tests and add model to README

* Add doc test

* Add feature extractor to docs

* Fix integration tests

* Remove register_buffer

* Fix toctree and add missing attribute

* Add DonutSwin

* Make conversion script work

* Improve conversion script

* Address comment

* Fix bug

* Fix another bug

* Remove deprecated method from docs

* Make Swin and Swinv2 untouched

* Fix code examples

* Fix processor

* Update model_type to donut-swin

* Add feature extractor tests, add token2json method, improve feature extractor

* Fix failing tests, remove integration test

* Add do_thumbnail for consistency

* Improve code examples

* Add code example for document parsing

* Add DonutSwin to MODEL_NAMES_MAPPING

* Add model to appropriate place in toctree

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

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

* First draft

* Add VideoMAEForVideoClassification

* Improve conversion script

* Add VideoMAEForPreTraining

* Add VideoMAEFeatureExtractor

* Improve VideoMAEFeatureExtractor

* Improve docs

* Add first draft of model tests

* Improve VideoMAEForPreTraining

* Fix base_model_prefix

* Make model take pixel_values of shape (B, T, C, H, W)

* Add loss computation of VideoMAEForPreTraining

* Improve tests

* Improve model testsé

* Make all tests pass

* Add VideoMAE to main README

* Add tests for VideoMAEFeatureExtractor

* Add integration test

* Improve conversion script

* Rename patch embedding class

* Remove VideoMAELayer from init

* Update design of patch embeddings

* Improve comments

* Improve conversion script

* Improve conversion script

* Add conversion of pretrained model

* Add loss verification of pretrained model

* Add loss verification of unnormalized targets

* Add integration test for pretraining model

* Apply suggestions from code review

* Fix bug to make feature extractor resize only shorter edge

* Address more comments

* Improve normalization of videos

* Add doc examples

* Move constants to dedicated script

* Remove scripts

* Transfer checkpoints, fix docs

* Update script

* Update image mean and std

* Fix doc tests

* Set return_tensors to NumPy by default

* Revert the previous change
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

The current wording makes it sound as if the programming languages are part of the 46 natural languages.

* update maskformer docs

* fix typo

* add LUKE models for downstream tasks

* add new LUKE models to docs

* fix typos

* remove commented lines

* exclude None items from tuple return values

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

* Preliminary work on tokenizers

* Quality + fix tests

* Treat processors

* Fix pad

* Remove all uses of  in tests, docs and examples

* Replace all as_target_tokenizer

* Fix tests

* Fix quality

* Update examples/flax/image-captioning/run_image_captioning_flax.py
Co-authored-by: amyeroberts <amy@huggingface.co>

* Style
Co-authored-by: amyeroberts <amy@huggingface.co>

* [Docs] Fix Speech Encoder Decoder doc sample

* improve pre-processing comment

* make style

* Add files generated using transformer-cli add-new-model-like command

* Add changes for swinv2 attention and forward method

* Add fixes

* Add modifications for weight conversion and remaining args in swin model

* Add changes for patchmerging

* Add changes for SwinV2selfattention

* Update conversion script

* Add final fixes for the swin_v2 model

* Add changes for conversion script for pretrained window size case

* Add pretrained window size value from config in SwinV2Encoder class

* Make fixup

* Add swinv2 to models_not_in_readme to utils/check_copies.py

* Modify Swinv2v2 to Swin Transformer V2

* Remove copied from, to run make fixup command

* Add updates to swinv2tf from main branch

* Add pretrained_window_size to config, to make tests pass

* Add modified weights from nandwalritik profile for swinv2

* Update model weights from swinv2 from nandwalritik profile

* Add fix for build_pr_documentation CI fix

* Add fixes for weight conversion

* Add change to make input with padding work

* Add fixes for test cases

* Add few changes from swin to swinv2 to pass test cases

* Remove tests for tensorflow as swinv2 for TF is not added yet

* Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet

* Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now.

* Update docs url for swinv2 in README.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Undo changes for check_repo

* Update url in readme.md

* Remove overrided function to test pt_tf_model_equivalence

* Remove TF model imports for Swinv2 as its not implemented in this PR

* Add changes for index.mdx

* Add swinv2 papers link,abstract and contributors details

* Rename cpb_mlp to continous_position_bias_mlp

* Add tips for swinv2 model

* Update src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fix indentation for docstring example in src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update import order in src/transformers/models/swinv2/configuration_swinv2.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add copyright statements in weights conversion script.
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove Swinv2 from models_not_in_readme

* Reformat code

* Remove TF implementation file for swinv2

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

* Add changes for docstring

* Update orgname for weights to microsoft

* Remove to_2tuple function

* Add copied from statements wherever applicable

* Add copied from to Swinv2ForMaskedImageModelling class

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

* Add unittest.skip(with reason.) for test_inputs_embeds test case.
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add updates for test_modeling_swinv2.py

* Add @unittest.skip() annotation for clarity to create_and_test_config_common_properties function

* Add continuous_position_bias_mlp parameter to conversion script

* Add test for testing masked_image_modelling for swinv2

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add suggested changes

* Add copied from to forward methods of Swinv2Stage and Swinv2Encoder

* Add push_to_hub flag to weight conversion script

* Change order or Swinv2DropPath class

* Add id2label mapping for imagenet 21k

* Add updated url for SwinV2 functions and classes used in implementation

* Update input_feature dimensions format, mentioned in comments.
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* Add suggested changes for modeling_swin2.py

* Update docs

* Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient.

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

* Add changes for making Nit objects in code style

* Add suggested changes

* Add suggested changes for test_modelling_swinv2

* make fix-copies

* Update docs/source/en/model_doc/swinv2.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Improve docs

* Improve docs of speech one as well

* Apply suggestions from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER)

* provide classifier only text hidden states

* add test_for_token_classification

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

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

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

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

* add test_for_token_classification
Co-authored-by: gfuchs <gfuchs@ebay.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix docs and add owlvit docs test

* fix minor bug in post_process, add to processor

* improve owlvit code examples

* fix hardcoded image size

* add owlvit model skeleton

* add class and box predictor heads

* convert modified flax clip to pytorch

* fix box and class predictors

* add OwlViTImageTextEmbedder

* convert class and box head checkpoints

* convert image text embedder checkpoints

* add object detection head

* fix bugs

* update conversion script

* update conversion script

* fix q,v,k,out weight conversion conversion

* add owlvit object detection output

* fix bug in image embedder

* fix bugs in text embedder

* fix positional embeddings

* fix bug in inference mode vision pooling

* update docs, init tokenizer and processor files

* support batch processing

* add OwlViTProcessor

* remove merge conflicts

* readd owlvit imports

* fix bug in OwlViTProcessor imports

* fix bugs in processor

* update docs

* fix bugs in processor

* update owlvit docs

* add OwlViTFeatureExtractor

* style changes, add postprocess method to feature extractor

* add feature extractor and processor tests

* add object detection tests

* update conversion script

* update config paths

* update config paths

* fix configuration paths and bugs

* fix bugs in OwlViT tests

* add import checks to processor

* fix docs and minor issues

* fix docs and minor issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* fix bugs and issues

* update docs and examples

* fix bugs and issues

* update conversion script, fix positional embeddings

* process 2D input ids, update tests

* fix style and quality issues

* update docs

* update docs and imports

* update OWL-ViT index.md

* fix bug in OwlViT feature ext tests

* fix code examples, return_dict by default

* return_dict by default

* minor fixes, add tests to processor

* small fixes

* add output_attentions arg to main model

* fix bugs

* remove output_hidden_states arg from main model

* update self.config variables

* add option to return last_hidden_states

* fix bug in config variables

* fix copied from statements

* fix small issues and bugs

* fix bugs

* fix bugs, support greyscale images

* run fixup

* update repo name

* merge OwlViTImageTextEmbedder with obj detection head

* fix merge conflict

* fix merge conflict

* make fixup

* fix bugs

* fix bugs

* add additional processor test

* add: segformer utils and img. classification.

* add: segmentation layer.

* feat: working implementation of segformer.

* chore: remove unused variable.

* add test, remaining modifications.

* remove: unnecessary files.

* add: rest of the files.
Co-authored-by: matt <rocketknight1@gmail.com>

* chore: remove ModuleList comment.

* chore: apply make style.

* chore: apply make fixup-copies.

* add  to check_repo.py

* add decode head to IGNORE_NON_TESTED

* chore: run make style.

* chore: PR comments.

* chore: minor changes to model doc.

* tests: reduction across samples.

* add a note on the space.

* sort importats.

* fix: reduction in loss computation.

* chore: align loss function with that of NER.

* chore: correct utils/documentation_tests.txt
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* chore: simplify the interpolation of logits in loss computation.

* chore: return transposed logits when return_dict=False.

* chore: add link to the tf fine-tuning repo.

* address pr comments.

* address niels's comments.

* remove from_pt=True since tf weights are in.

* remove comment from pt model.

* address niels's comments.
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Adding OPTForSeqClassification class

* Fix import issues

* Add documentation for optforseqclassification

* Remove checkout

* fix failing tests

* fix typo

* Fix code formatting

* Incorporating the PR feedbacks

* Incorporate PR Feedbacks

* Fix failing test and add new test for multi label setup

* Fix formatting issue

* Fix failing tests

* Fix formatting issues

* Fix failing tests

* Fix failing tests

* Fix failing tests

* Fix failing tests

* PR feedback

* NLLB tokenizer

* Apply suggestions from code review - Thanks Stefan!
Co-authored-by: Stefan Schweter <stefan@schweter.it>

* Final touches

* Style :)

* Update docs/source/en/model_doc/nllb.mdx
Co-authored-by: Stefan Schweter <stefan@schweter.it>

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

* PR reviews

* Auto models
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Initial TF DeiT implementation

* Fix copies naming issues

* Fix up + docs

* Properly same main layer

* Name layers properly

* Initial TF DeiT implementation

* Fix copies naming issues

* Fix up + docs

* Properly same main layer

* Name layers properly

* Fixup

* Fix import

* Fix import

* Fix import

* Fix weight loading for tests whilst not on hub

* Add doc tests and remove to_2tuple

* Add back to_2tuple
Removing to_2tuple results in many downstream changes needed because of the copies checks

* Incorporate updates in Improve vision models #17731 PR

* Don't hard code num_channels

* Copy PyTorch DeiT embeddings and remove pytorch operations with mask

* Fix patch embeddings & tidy up

* Update PixelShuffle to move logic into class layer

* Update doc strings - remove PT references

* Use NHWC format in internal layers

* Fix up

* Use linear activation layer

* Remove unused import

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Move dataclass to top of file

* Remove from_pt now weights on hub

* Fixup
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Amy Roberts <amyeroberts@users.noreply.github.com>

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* Fix typo.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* make fixup.

* Rought TF conversion outline

* Tidy up

* Fix padding differences between layers

* Add back embedder - whoops

* Match test file to main

* Match upstream test file

* Correctly pass and assign image_size parameter
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add in MainLayer

* Correctly name layer

* Tidy up AdaptivePooler

* Small tidy-up

More accurate type hints and remove whitespaces

* Change AdaptiveAvgPool

Use the AdaptiveAvgPool implementation by @Rocketknight1, which correctly pools if the output shape does not evenly divide by input shape c.f. https://github.com/huggingface/transformers/pull/17554/files/9e26607e22aa8d069c86b50196656012ff0ce62a#r900109509

Co-authored-by: From: matt <rocketknight1@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Use updated AdaptiveAvgPool
Co-authored-by: matt <rocketknight1@gmail.com>

* Make AdaptiveAvgPool compatible with CPU

* Remove image_size from configuration

* Fixup

* Tensorflow -> TensorFlow

* Fix pt references in tests

* Apply suggestions from code review - grammar and wording
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Add TFResNet to doc tests

* PR comments - GlobalAveragePooling and clearer comments

* Remove unused import

* Add in keepdims argument

* Add num_channels check

* grammar fix: by -> of
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Remove transposes - keep NHWC throughout forward pass

* Fixup look sharp

* Add missing layer names

* Final tidy up - remove from_pt now weights on hub
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* first draft adding Flax-t5-encoder and Flax-mt5-encoder

* imports

* after make fixup

* flax t5 encoder test

* black on test

* make fix-copies

* clean

* all_model_classes -> tuple

* clean test

* is_encoder_decoder=False in t5-enc tester

* remove file docstring before FlaxT5Encoder

* black

* isort

* commit suggestions on src/transformers/models/t5/modeling_flax_t5.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* commit suggestions on src/transformers/models/t5/modeling_flax_t5.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* remove _get_encoder_module

* self.decoder_seq_length -> self.encoder_seq_length as t5-enc does not have decoder

* bugfix - self.module_class is class itself, not instance;

* docs for mt5 and t5

* call -> __call__ in t5 doc

* FlaxMT5EncoderModel to TYPE_HINT

* run doc-builder to allow change the files
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* add MobileViT

* fixup

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

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

* use clearer variable names

* rename to MobileViTTransformerLayer

* no longer inherit from nn.Sequential

* fixup

* fixup

* not sure why this got added twice

* rename organization for checkpoints

* fix it up

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

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

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

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

* Update tests/models/mobilevit/test_modeling_mobilevit.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

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

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

* code style improvements

* fixup

* Update docs/source/en/model_doc/mobilevit.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/mobilevit.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

* download labels from hub

* rename layers

* rename more layers

* don't compute loss in separate function

* remove some nn.Sequential

* replace nn.Sequential with new MobileViTTransformer class

* replace nn.Sequential with MobileViTMobileNetLayer

* fix pruning since model structure changed

* fixup

* fix doc comment

* remove custom resize from feature extractor

* fix ONNX import

* add to doc tests

* use center_crop from image_utils

* move RGB->BGR flipping into image_utils

* fix broken tests

* wrong type hint

* small tweaks
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add MVP model

* Update README

* Remove useless module

* Update docs

* Fix bugs in tokenizer

* Remove useless test

* Remove useless module

* Update vocab

* Remove specifying

* Remove specifying

* Add #Copied ... statement

* Update paper link

* Remove useless TFMvp

* Add #Copied ... statement

* Fix style in test mvp model

* Fix some typos

* Fix properties of unset special tokens in non verbose mode

* Update paper link

* Update MVP doc

* Update MVP doc

* Fix README

* Fix typos in docs

* Update docs

* chore: initial commit

Copied the torch implementation of regnets and porting the code to tf step by step. Also introduced an output layer which was needed for regnets.

* chore: porting the rest of the modules to tensorflow

did not change the documentation yet, yet to try the playground on the model

* Fix initilizations (#1)

* fix: code structure in few cases.

* fix: code structure to align tf models.

* fix: layer naming, bn layer still remains.

* chore: change default epsilon and momentum in bn.

* chore: styling nits.

* fix: cross-loading bn params.

* fix: regnet tf model, integration passing.

* add: tests for TF regnet.

* fix: code quality related issues.

* chore: added rest of the files.

* minor additions..

* fix: repo consistency.

* fix: regnet tf tests.

* chore: reorganize dummy_tf_objects for regnet.

* chore: remove checkpoint var.

* chore: remov unnecessary files.

* chore: run make style.

* Update docs/source/en/model_doc/regnet.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* chore: PR feedback I.

* fix: pt test. thanks to @ydshieh.

* New adaptive pooler (#3)

* feat: new adaptive pooler

Co-authored-by: @Rocketknight1

* chore: remove image_size argument.
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: matt <rocketknight1@gmail.com>

* Empty-Commit

* chore: remove image_size comment.

* chore: remove playground_tf.py

* chore: minor changes related to spacing.

* chore: make style.

* Update src/transformers/models/regnet/modeling_tf_regnet.py
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>

* Update src/transformers/models/regnet/modeling_tf_regnet.py
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>

* chore: refactored __init__.

* chore: copied from -> taken from./g

* adaptive pool -> global avg pool, channel check.

* chore: move channel check to stem.

* pr comments - minor refactor and add regnets to doc tests.

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

* minor fix in the xlayer.

* Empty-Commit

* chore: removed from_pt=True.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add group vit and fixed test (except slow)

* passing slow test

* addressed some comments

* fixed test

* fixed style

* fixed copy

* fixed segmentation output

* fixed test

* fixed relative path

* fixed copy

* add ignore non auto configured

* fixed docstring, add doc

* fixed copies

* Apply suggestions from code review

merge suggestions
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolve comment, renaming model

* delete unused attr

* use fix copies

* resolve comments

* fixed attn

* remove unused vars

* refactor tests

* resolve final comments

* add demo notebook

* fixed inconsitent default

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename stage->stages

* Create single GroupViTEncoderLayer class

* Update conversion script

* Simplify conversion script

* Remove cross-attention class in favor of GroupViTAttention

* Convert other model as well, add processor to conversion script

* addressing final comment

* fixed args

* Update src/transformers/models/groupvit/modeling_groupvit.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add a TF in-graph tokenizer for BERT

* Add from_pretrained

* Add proper truncation, option handling to match other tokenizers

* Add proper imports and guards

* Add test, fix all the bugs exposed by said test

* Fix truncation of paired texts in graph mode, more test updates

* Small fixes, add a (very careful) test for savedmodel

* Add tensorflow-text dependency, make fixup

* Update documentation

* Update documentation

* make fixup

* Slight changes to tests

* Add some docstring examples

* Update tests

* Update tests and add proper lowercasing/normalization

* make fixup

* Add docstring for padding!

* Mark slow tests

* make fixup

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* make fixup

* Properly handle tensorflow-text dummies

* Add CodeGen model

* Add missing key and switch order of super()

* Fix torch.ones init with uint8 instead of bool

* Address comments: copy statements and doc

* update tests

* remove old model parallel

* fix batch gen tests

* fix batch gen test

* update test_gpt2_sample_max_time

* fix codgen test and revert gpt2 test change

* Fix incorrect tie_word_embedding value, typo, URL

* Fix model order in README and styling

* Reorder model list alphabetically

* Set tie_word_embedding to False by default

* Apply suggestions from code review

* Better attn mask name & remove attn masked_bias

* add tokenizer for codegen

* quality

* doc tokenizer

* fix-copies

* add CodeGenTokenizer in converter

* make truncation optional

* add test for truncation

* add copyright

* fix-copies

* fix fast tokenizer decode

* Update src/transformers/models/codegen/tokenization_codegen.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* increase vocab_size in tests
Co-authored-by: patil-suraj <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Copied all the changes from the last PR

* added in documentation_tests.txt

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: vishwaspai <vishwas.pai@emplay.net>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

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

* address comments

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

* merge

* wip

* wip

* wip

* most basic tests passes

* all tests pass now

* relative embedding

* wip

* running make fixup

* remove bert changes

* fix doc

* fix doc

* fix issues

* fix doc

* address comments

* fix CI

* remove redundant copied from

* address comments

* fix broken test
Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* added use_backbone_pretrained

* style fixes

* update

* Update detr.mdx

* Update detr.mdx

* Update detr.mdx

* update using doc py

* Update detr.mdx

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

* Add UL2
Co-authored-by: Daniel Hesslow <Daniel.Hesslow@gmail.com>

* Correct naming

* sort better

* up

* apply sylvains suggestion

* [Wav2Vec2Conformer] Official release

* remove from not-in-readme

* add new bloom classes

* (feat) add bloom classification tests; make style

* style: change import in test

* add some typehints to bloom classes

* merge main into branch

* fix: input checking in bloom seq classification

* fix tests

* change model class tests

* fix few tests

- more tests should pass
- one test left

* make token classifier return hidden states

* style: make BLOOM typehints consistent
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Initial commit

* Make some fixes

* Make PT model full forward pass

* Drop TF & Flax implementation, fix copies etc

* Add Flax model and update some corresponding stuff

* Drop some TF things

* Update config and flax local attn

* Add encoder_attention_type to config

* .

* Update docs

* Do some cleansing

* Fix some issues -> make style; add some docs

* Fix position_bias + mask addition + Update tests

* Fix repo consistency

* Fix model consistency by removing flax operation over attn_mask

* [WIP] Add PT TGlobal LongT5

* .

* [WIP] Add flax tglobal model

* [WIP] Update flax model to use the right attention type in the encoder

* Fix flax tglobal model forward pass

* Make the use of global_relative_attention_bias

* Add test suites for TGlobal model

* Fix minor bugs, clean code

* Fix pt-flax equivalence though not convinced with correctness

* Fix LocalAttn implementation to match the original impl. + update READMEs

* Few updates

* Update: [Flax] improve large model init and loading #16148

* Add ckpt conversion script accoring to #16853 + handle torch device placement

* Minor updates to conversion script.

* Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM

* gpu support + dtype fix

* Apply some 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>

* * Remove (de)parallelize stuff
* Edit shape comments
* Update README.md
* make fix-copies

* Remove caching logic for local & tglobal attention

* Apply another batch of suggestions from code review

* Add missing checkpoints
* Format converting scripts
* Drop (de)parallelize links from longT5 mdx

* Fix converting script + revert config file change

* Revert "Remove caching logic for local & tglobal attention"

This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46.

* Stash caching logic in Flax model

* Make side relative bias used always

* Drop caching logic in PT model

* Return side bias as it was

* Drop all remaining model parallel logic

* Remove clamp statements

* Move test files to the proper place

* Update docs with new version of hf-doc-builder

* Fix test imports

* Make some minor improvements

* Add missing checkpoints to docs
* Make TGlobal model compatible with torch.onnx.export
* Replace some np.ndarray with jnp.ndarray

* Fix TGlobal for ONNX conversion + update docs

* fix _make_global_fixed_block_ids and masked neg  value

* update flax model

* style and quality

* fix imports

* remove load_tf_weights_in_longt5 from init and fix copies

* add slow test for TGlobal model

* typo fix

* Drop obsolete is_parallelizable and one warning

* Update __init__ files to fix repo-consistency

* fix pipeline test

* Fix some device placements

* [wip]: Update tests -- need to generate summaries to update expected_summary

* Fix quality

* Update LongT5 model card

* Update (slow) summarization tests

* make style

* rename checkpoitns

* finish

* fix flax tests
Co-authored-by: phungvanduy <pvduy23@gmail.com>
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: patil-suraj <surajp815@gmail.com>

* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

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

* address comments

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

* merge

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

* merge
Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@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>

* adding template

* update model

* model update

* update conf for debug model

* update conversion

* update conversion script

* update conversion script

* fix missing keys check

* add tests to test the tokenizer in the local machine

* Change variable name

* add tests on xnli dataset

* add more description

* add descriptions + clearer code

* clearer code

* adding new tests + skipping few tests because of env problems

* change comment

* add dtype on the configuration

* add test embeddings

* add hardcoded test

* fix dtype issue

* adding torch.float16 to config

* adding more metrics (min, max, mean)

* add sum

* now the test passes with almost equal

* add files for conversion - test passes on cpu  gpu

* add final changes

* cleaning code

* add new args in the docstring

* fix one liner function

* remove macros

* remove forward attention

* clean up init funtion

* add comments on the issue

* rm scale mask softmax

* do make style

* fix dtype in init

* fixing for loop on att probs

* fix style with black

* fix style + doc error

* fix and debug CI errors (docs + style)

* some updates

- change new operations
- finally add scaled softmax
- added new args in the config

* make use cache working

* add changes

- save sharded models
- final changes on the modeling script

* add changes

- comment on alibi
- add TODO on seq length

* test commit

- added a text to test the commit
Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* final changes

- attention mask change
- generation works on BS176b
Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* changes - model + conversion

* move to correct dir

* put ,

* fex fixes

* fix tokenizer autodoc

* fix minor CI issues

* fix minor CI issues

* fix minor CI issues

* fix style issue

* fix minor import issues

* fix few issues

* remove def main on the test

* add require torch

* replace decorator with 'with'

* fix style

* change to bloom

* add quick fix tokenizer

* fix tokenizer file

* fix tokenizer

- merge tests
- small fixes

* fix import issue

* add bloom to readme

* fix consistency

* Update docs/source/en/model_doc/bloom.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review

fix comment issues on file headers
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix doc issue

* small fix - modeling test

* some changes

- refactor some code
- taking into account reviews
- more tests should pass
- removed pruning tests

* remove useless division

* more tests should pass

* more tests should pass

* more tests should pass

* let's try this one

-add alibi offset
- remove all permutes to make the grad operations work
- finger crossed

* refactor

- refactor code
- style changes
- add new threshold for test

* major changes

- change BLOOM to Bloom
- add quick doc on bloom.mdx
- move embeddings test on modeling test

* modify readme

* small fixes

* small fix

- better threshold for a test

* remove old test file from fetcher

* fix small typo

* major change

- change BloomLMHead to BloomForCausalLM

* remove onnx config

* major changes

- refactor the code
- remove asserts
- change tol for test

* make style

* small change

* adding a slow test + commenting old ones for now

* make style

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

* make style

* fix duplicates

* cleaning comments on config

* clean a bit conversion file

* refacor a bit modeling file

* refactor tokenizer file

* fix tokenization test issue

* fix tokenization issue #2

* fix tokenization issue second try

* fix test issue

* make style + add suggestions

* change test fetcher

* try this one

- slow tests should pass
- finger crossed

* possible final changes

* make style

* try fix padding side issue

* fix side

* fix padding issue

* fix ko-readme

* fix config auto

* cleaning modeling file

* keep bloom in caps in ko

* update config docs

* remove pretraining_pp

* remove model parallel

* update config

- add correct config files

* fix duplicates

* fix fetcher

* fix refactor issue

- remove divide function

* try to remove alibi

* small fixes

- fix alibi
- remove seq length
- refactor a bit the code

* put correct values

- fix bos and eos token ids

* fix attention mask loop
Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>

* small fixes:

- remove skip bias add

* small fixes

- fix typo in readme
- fix typos in config

* small changes

- remove a test
- add reconstruction test
- change config

* small changes

- change Scaled Softmax to BloomScaledSoftmax

* small fixes

- fix alibi dtype

* major changes

- removing explicit dtype when loading modules
- fixing test args (torch_dtype=auto)
- add dosctring

* fix readmes

* major changes

- now bloom supports alibi shifting
- refactor a bit the code
- better test tolerance now

* refactor a bit

* refactor a bit

* put correct name on test

* change docstring

* small changes

- fix docstring modeling
- fix test tolerance

* fix small nit

- take dtype from tensors in the conversion script

* minor fix

- fix mdx issue

* minor fix

- change config docstring

* forward contrib credits from PR14084

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* apply modifications
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* resolve softmax upcast

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/models/bloom/modeling_bloom.py
Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>

* final changes modeling
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Merge commit 'd156898f

'

* merge commit

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* apply suggestions

Apply suggestions from Stas comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Fix gradient checkpointing
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* add slow but exact

* add accelerate compatibility
Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com>

* forward contrib credits
Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com>
Co-authored-by: sgugger <sgugger@users.noreply.github.com>
Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com>
Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>
Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com>

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

* fix torch device on tests

* make style

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

* fix nits

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

* remove final nits

* fix doc

- add more details on the doc
- add links to checkpoints

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

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

* apply suggestions
Co-authored-by: sgugger <sgugger@users.noreply.github.com>

* put test torchscript to false

* Update src/transformers/models/bloom/modeling_bloom.py
Co-authored-by: justheuristic <justheuristic@gmail.com>

* fix alibi

- create alibi only once

* add small doc

* make quality

* replace torch.nn

* remove token type emb

* fix fused op + output bias

* add fused op

- now can control fused operation from config

* remove fused op

* make quality

* small changes

- remove unsed args on config
- removed bias gelu file
- make the model torchscriptable
- add torchscript slow tests

* Update src/transformers/models/bloom/modeling_bloom.py

* fix slow

* make style

* add accelerate support

* add bloom to deepspeed tests

* minor changes

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

* minor change

* slow tests pass

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

* Update docs/source/en/model_doc/bloom.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* minor changes:

- change docstring
- add link to paper
Co-authored-by: Thomwolf <thomwolf@gmail.com>
Co-authored-by: Thomas Wolf <thomas@huggingface.co>
Co-authored-by: thomasw21 <24695242+thomasw21@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: sIncerass <sheng.s@berkeley.edu>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Niklas Muennighoff <n.muennighoff@gmail.com>
Co-authored-by: Nicolas Patry <Narsil@users.noreply.github.com>
Co-authored-by: thomasw21 <thomasw21@users.noreply.github.com>
Co-authored-by: sgugger <sgugger@users.noreply.github.com>
Co-authored-by: patrickvonplaten <patrickvonplaten@users.noreply.github.com>
Co-authored-by: LysandreJik <LysandreJik@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: justheuristic <justheuristic@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* feat: initial implementation of data2vec segmentation model in TF.

* chore: minor corrections to make the segmenter work.

* chore: removed unncessary files.

* chore: add tests and other modifications.

* fix: loss computation for segmentation.

* chore: remove unused variable.

* chore: formatting.

* added a dummy adaptive pooling layer.

* removed unnecessary file.

* potentially add identifiers to layer names.

* fix: layer naming.

* chore: removed unnecessary print.

* Skipping unneeded test

* chore: add logging to debug tolerance.

* fix: segmentation tests for tfdata2vecvision

* chore: make style.

* fix: layer names, assertion to be resolved.

* Bumping test tolerance a bit

* chore: bump the tol in PT test.
Co-authored-by: matt <rocketknight1@gmail.com>

* added cbs to notebooks, made copy-paste error fix in generation_utils

* initial push for mctc model

* mctc feature extractor done

* added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly.

* added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly.

* passing attention, now struggling to figure out how attention masks make sense here

* works when excluding attention masks. ask later how one would integrate attention maskshere

* bizarre configuration error (model prefix comes first in config dict json and messes up the order)

* all passing but bizzarre config dict ordering issue when to_dict

* passing all major tests

* feature extraction, processor, tokenizer added & tests passing

* style & consistency & other logistical fixes

* copy paste fix

* model after feature extraction working

* commiting final feature extraction results; need to fix normalization

* feature extraction passing tests; probably should add tests on the specific flashlight-copied functions?

* delete print ; format code a bit

* fixing tests

* passing major tests

* fixing styles

* completed tokenization test with real example; not sure if these values are entirely correct.

* last test fixes from local

* reverting accidentally included custom setup configs

* remove load tf weights; fix config error

* testing couldnt import featureextractor

* fix docs

* fix docs

* resolving comments

* style fixes

* style fixes

* Update to MCTCConv1dSubSampler
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* relposemb fixes

* conv1d name issue; expecting config fail with paraentheses

* fix config issue

* fix config issue

* fix config issue

* change everything to MCTCT

* fixing naming change errors

* archive list

* copyrights and docs

* copyrights and docs

* copyrights and docs

* merge resolution

* move tests, fix to changed optionaldependency structure

* test directories changed

* fixing tests

* how to avoid tf tests?

* how to avoid tf tests?

* tests passing locally

* allow mctctprocessor imported any env

* allow mctctprocessor imported any env

* fixed second round of feedback, need to fix docs

* doc changes not being applied

* all fixed

* style fix

* feedback fixes

* fix copies and feature extraction style fix

* Update tests/models/visual_bert/test_modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* copy paste huggingface:main visual bert

* added eof newline to visual bert; all tests are passing otherwise

* fix slow tests by adding attention mask

* change model id to speechbrain

* make fix-copies

* fix readme unwanted deletes

* fixing readmes, make fix-copies

* consistent M-CTC-T naming

* Update src/transformers/models/mctct/__init__.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* all fixed but variable naming

* adjust double quotes

* fixed variable names

* copyright and mr quilter

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

* correct slow tests

* make fix-copies

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

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

* m-ctc-t not mctct
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>