GitLab

* How To Request Support document stab

* integrate suggestions

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

* small corrections

* expand on how to search for issues with examples

* address issues

* Update ISSUES.md
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* patrick's suggestion

* patrick's suggestion

* small fix
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Enable TruncationStrategy override for pipelines

* Update isort.

* Fixing test

* Fixing text_generation pipeline.

* Using same DummyTok as other PR  for easier merge later.

* Some more import guards.

* Remove bogus file.

* Do not pass `generate_kwargs` to `_parse_and_tokenize`.
@patrickvonplaten

* Removed DummyTok.

* Doc quality.

https://github.com/huggingface/transformers/pull/3177

* Remove tolerance + drop_rows_to_fit by default

* remove drop_rows_to_fit

* Start rework resizing

* Rework bias/decoder resizing

* Full resizing rework

* Full resizing rework

* Start to update the models with the new approach

* Finish to update the models

* Update all the tests

* Update the template

* Fix tests

* Fix tests

* Test a new approach

* Refactoring

* Refactoring

* Refactoring

* New rework

* Rework BART

* Rework bert+blenderbot

* Rework CTRL

* Rework Distilbert

* Rework DPR

* Rework Electra

* Rework Flaubert

* Rework Funnel

* Rework GPT2

* Rework Longformer

* Rework Lxmert

* Rework marian+mbart

* Rework mobilebert

* Rework mpnet

* Rework openai

* Rework pegasus

* Rework Roberta

* Rework T5

* Rework xlm+xlnet

* Rework template

* Fix TFT5EncoderOnly + DPRs

* Restore previous methods

* Fix Funnel

* Fix CTRL and TransforXL

* Apply style

* Apply Sylvain's comments

* Restore a test in DPR

* Address the comments

* Fix bug

* Apply style

* remove unused import

* Fix test

* Forgot a method

* missing test

* Trigger CI

* naming update

* Rebase

* Trigger CI

Signed-off-by: Richard Liaw <rliaw@berkeley.edu>

Trying to keep warning tests for now. Should be discarded if it becomes
too hard to maintain.

* Cleaning up conversation tests.

* Adding tests that don't require downloading models + conversation can be

fully created from static state.

* Making tests non flaky (by fixing generation length)

* Bumping isort version.

* Doc cleanup.

* Remove unused test in this PR.

* Torch import guard for TF.

* Missing torch guard.

* Small mistake in doc.

* Actual uses `_history` and `_index` cache.

+ remove dead enumerate
+ improve warning message.

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

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

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

* Adding comments and cleaner code to address history copy.

* Improving pipeline name in tests.

* Change tokenizer to a real one (still created at runtime with no

external dependency)

* Simplify DummyTok, reverse changes on tokenization.

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

* Fix input for np.ndarray"

* add a test

* add a test

* Add a test

* Apply style

* Fix test

Python 3.9 changed the format of the string serialization of `typing.Optional`.
For example, `str(typing.Optional[str])` is
`typing.Union[str, NoneType]` in python 3.8 and
`typing.Optional[str]` in Python 3.9.

* New intermediate inits

* Update template

* Avoid importing torch/tf/flax in tokenization unless necessary

* Styling

* Shutup flake8

* Better python version check

* up

* improve style

* add new models

* make fix-copies

* Merging all duplicated codes for Text2TextPipeline while preserving
backward compat.

* Fixing TranslationPipeline Hierarchy + return_name

* torch import guard.

* Update isort version.

* Remove code from other PR disentanglement.

* Removed named example to something more agnostic.

* fix tf flakey

* remove test files

* Main init work

* Add version

* Change from absolute to relative imports

* Fix imports

* One more typo

* More typos

* Styling

* Make quality script pass

* Add necessary replace in template

* Fix typos

* Spaces are ignored in replace for some reason

* Forgot one models.

* Fixes for import
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* Add documentation

* Styling
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>

* fix common inputs pt flakey led

* fix other tests correspondingly

* Add a serving method

* Add albert

* Add serving for BERT and BART

* Add more models

* Finish the serving addition

* Temp fix

* Restore DPR

* Fix funnel attribute

* Fix attributes GPT2

* Fix OpenAIGPT attribute

* Fix T5 attributes

* Fix Bart attributes

* Fix TransfoXL attributes

* Add versioning

* better test

* Update template

* Fix Flaubert

* Fix T5

* Apply style

* Remove unused imports

* Deactivate extra parameters

* Remove too long test + saved_model default to False

* Ignore the saved model test for some models

* Fix some inputs

* Fix mpnet serving

* Trigger CI

* Address all comments

* Vectorized `ngram_attention_bias` calculation

* updated formatting with black

* Further optimization

* one (last) optimization

* fix generation models

* fix led

* fix docs

* add is_decoder

* fix last docstrings

* make style

* fix t5 cross attentions

* correct t5

* Don't import libs to check they are available

* Don't import integrations at init

* Add importlib_metdata to deps

* Remove old vars references

* Avoid syntax error

* Adapt testing utils

* Try to appease torchhub

* Add dependency

* Remove more private variables

* Fix typo

* Another typo

* Refine the tf availability test

* Define new output dataclasses for greedy generation

* Add output_[...] flags in greedy generation methods

Added output_attentions, output_hidden_states, output_scores flags in
generate and greedy_search methods in GenerationMixin.

* [WIP] Implement logic and tests for output flags in generation

* Update GreedySearchOutput classes & docstring

* Implement greedy search output accumulation logic

Update greedy_search unittests

Fix generate method return value docstring

Properly init flags with the default config

* Update configuration to add output_scores flag

* Fix test_generation_utils

Sort imports and fix isinstance tests for GreedySearchOutputs

* Fix typo in generation_utils

* Add return_dict_in_generate for backwards compatibility

* Add return_dict_in_generate flag in config

* Fix tyPo in configuration

* Fix handling of attentions and hidden_states flags

* Make style & quality

* first attempt attentions

* some corrections

* improve tests

* special models requires special test

* disable xlm test for now

* clean tests

* fix for tf

* isort

* Add output dataclasses for other generation methods

* Add logic to return dict in sample generation

* Complete test for sample generation

- Pass output_attentions and output_hidden_states flags to encoder in
encoder-decoder models
- Fix import satements order in test_generation_utils file

* Add logic to return dict in sample generation

- Refactor tests to avoid using self.assertTrue, which provides
scarce information when the test fails
- Add tests for the three beam_search methods: vanilla, sample and
grouped

* Style doc

* Fix copy-paste error in generation tests

* Rename logits to scores and refactor

* Refactor group_beam_search for consistency

* make style

* add sequences_scores

* fix all tests

* add docs

* fix beam search finalize test

* correct docstring

* clean some files

* Made suggested changes to the documentation

* Style doc ?

* Style doc using the Python util

* Update src/transformers/generation_utils.py

* fix empty lines

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

* Store transformers version info when saving the model

* Store transformers version info when saving the model

* fix format

* fix format

* fix format

* Update src/transformers/configuration_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update configuration_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* first commit

* change phobert to phoBERT as per author in overview

* v3 and v4 both runs on same code hence there is no need to differentiate them
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* first commit

* changed XLMTokenizer to HerbertTokenizer in code example

* Add missing lines before a new list.

* Update doc styler and restyle some files.

* Fix docstrings of LED and Longformer

* model wrapped + model_unwrap

* cleanup

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

* style

* deprecation warning

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

* Allow example to use a revision and work with private models

* Copy to other examples and template

* Styling

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