GitLab

* [research] link to the XTREME-S paper

* Update examples/research_projects/xtreme-s/README.md
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* [examples] max samples can't be bigger than then len of dataset

* do tf and flax

* Prevent overwriting matched with mismatched metrics

* Fix style

Fix typo in comment: proprocessed -> preprocessed

* update Dockerfile and utils_qa

* Update README.md

* Big file_utils cleanup

* This one still needs to be treated separately

* Update readme with how to train offline and fix BPE command

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

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

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Add type hints for Pegasus (#16324)

* Funnel type hints (#16323)

* add pt funnel type hints

* add tf funnel type hints

* Add type hints for ProphetNet PyTorch (#16272)

* [GLPN] Improve docs (#16331)

* Add link to notebook

* Add link

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

* Added type hints for Pytorch Marian calls (#16200)

* Added type hinting for forward functions in pytorch marian

* typo correction

* Removed type hints on functions from BART per Suraj Patil request

* fix import pb

* fix typo

* corrected tuple call

* ran black

* after fix-copies
Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List

* Fixing copies to roformer and pegasus
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

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

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

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* done (#16340)

* Added Decision transformer to model docs

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

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

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

* Add type annotations for Rembert/Splinter and copies (#16338)

* undo black autoformat

* minor fix to rembert forward with default

* make fix-copies, make quality

* Adding types to template model

* Removing List from the template types

* Remove `Optional` from a couple of types that don't accept `None`
Co-authored-by: matt <rocketknight1@gmail.com>

* [Bug template] Shift responsibilities for long-range (#16344)

* Fix code repetition in serialization guide (#16346)

* Adopt framework-specific blocks for content (#16342)

* ✨ refactor code samples with framework-specific blocks

* ✨ update training.mdx

* 🖍

 apply feedback

* Updates the default branch from master to main (#16326)

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

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

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

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

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

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* Added Decision transformer to model docs

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

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

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

* Updated model with custom docstring example

* Updated copies, config auto, and readme files.
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com>
Co-authored-by: Adam Montgomerie <adam@avanssion.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com>
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com>
Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update results

* per-language metrics

* Format the per-language metrics

* Minor fixes

* Fix vocab union

* Update examples/research_projects/xtreme-s/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update README

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

* Replace all deprecated `jax.ops` operations with jnp's `at`

* np to jnp scores

* suggested changes

* CTC+classification draft

* CTC+classification draft

* style

* multilingual runs

* Fix race condition during processor.from_reatrained

* Merge covost experiments

* Add README

* Quality

* Switch to .all configs

* Fix typos

* [WIP] add support for bf16 mode

* prep for bf16

* prep for bf16

* fix; zero2/bf16 is ok

* check bf16 is available

* test fixes

* enable zero3_bf16

* config files

* docs

* split stage_dtype; merge back to non-dtype-specific config file

* fix doc

* cleanup

* cleanup

* bfloat16 => bf16 to match the PR changes

* s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/

* test fixes/skipping

* move

* fix

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

* backticks

* cleanup

* cleanup

* cleanup

* new version

* add note about grad accum in bf16
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

at transformers/examples/pytorch/contrastive-image-text

Speedup training by using numpy instead of jnp for batch shuffling
Co-authored-by: Yeb Havinga <y.t.havinga@mgrid.net>

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

cna -> can

* Working example with to_tf_dataset

* updated text_classification

* more comments

* begin script

* update script

* fix features and data args

* main

* add requirements

* add column name args

* fix captions

* don't jit transforms

* fix caption

* fix labels, handle attention mask

* convert pixel values to numpy

* labels => input_ids

* transform images on the fly

* use AutoModel class, create the hybird model outside of the script

* fix version message

* add readme

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

* adderss review comments

* add more comments

* allow freezing vision and text models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>