GitLab

* Add copyright everywhere missing

* Style

* Add TFGPT2ForSequenceClassification based on DialogRPT

* Add TFGPT2ForSequenceClassification based on DialogRPT

* TFGPT2ForSequenceClassification based on DialogRPT-refactored code, implemented review comments and added input processing

* Add TFGPT2ForSequenceClassification based on DialogRPT

* TFGPT2ForSequenceClassification based on DialogRPT-refactored code, implemented review comments and added input processing

* code refactor for latest other TF PR

* code refactor

* code refactor

* Update modeling_tf_gpt2.py

* conda

* Guide

* correct tag

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

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

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

* Add badge w/ number of models on the hub

* try to apease @sgugger 😇



* not sure what this `c` was about [ci skip]

* Fix script and move stuff around

* Fix doc styling error
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Transfoxl sequence classification

* Transfoxl sequence classification

* add CTRLForSequenceClassification

* pass local test

* merge with master

* fix modeling test for sequence classification

* fix deco

* fix assert

* Add T5 Encoder class for feature extraction

* fix T5 encoder add_start_docstrings indent

* update init with T5 encoder

* update init with TFT5ModelEncoder

* remove TFT5ModelEncoder

* change T5ModelEncoder order in init

* add T5ModelEncoder to transformers init

* clean T5ModelEncoder

* update init with TFT5ModelEncoder

* add TFModelEncoder for Tensorflow

* update init with TFT5ModelEncoder

* Update src/transformers/models/t5/modeling_t5.py

change output from Seq2SeqModelOutput to BaseModelOutput
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* remove encoder_outputs

1. remove encoder_outputs from the function call.
2. remove the encoder_outputs If statement.
3. remove isinstance from return_dict.

* Authorize missing decoder keys

* remove unnecessary input parameters

remove pask_key_values and use_cache

* remove use_cache

remove use_cache from the forward method

* add doctoring for T5 encoder

add doctoring for T5 encoder with T5_ENCODER_INPUTS_DOCSTRING

* change return_dict to dot access

* add T5_ENCODER_INPUTS_DOCSTRING for TF T5

* change TFT5Encoder output type to BaseModelOutput

* remove unnecessary parameters for TFT5Encoder

* remove unnecessary if statement

* add import BaseModelOutput

* fix BaseModelOutput typo to TFBaseModelOutput

* update T5 doc with T5ModelEncoder

* add T5ModelEncoder to tests

* finish pytorch

* finish docs and mt5

* add mtf to init

* fix init

* remove n_positions

* finish PR

* Update src/transformers/models/mt5/modeling_mt5.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/t5/modeling_t5.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/t5/modeling_tf_t5.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/models/mt5/modeling_tf_mt5.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Migration guide from v3.x to v4.x

* Better wording

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

* Sylvain's comments

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

* Fix minor typos

* Additional typos

* Style fix
Co-authored-by: guyrosin <guyrosin@assist-561.cs.technion.ac.il>

* Add init barthez

* Add barthez model, tokenizer and docs

BARThez is a pre-trained french seq2seq model that uses BART objective.

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

* Add license

* Change URLs scheme

* Remove barthez model keep tokenizer

* Fix style

* Fix quality

* Update tokenizer

* Add fast tokenizer

* Add fast tokenizer test
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix mems in xlnet

* fix use_mems

* fix use_mem_len

* fix use mems

* clean docs

* fix tf typo

* make xlnet tf for generation work

* fix tf test

* refactor use cache

* add use cache for missing models

* correct use_cache in generate

* correct use cache in tf generate

* fix tf

* correct getattr typo

* make sylvain happy

* change in docs as well

* do not apply to cookie cutter statements

* fix tf test

* make pytorch model fully backward compatible

* First draft

* Styling

* With all changes staged

* Update docs/source/index.rst
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Styling
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Add parallelize methods to the .rst files

* Correct format

* Add early stopping patience and minimum threshold metric must improve to prevent early stopping to pytorch trainer

* Add early stopping test

* Set patience counter to 0 if best metric not defined yet

* Make early stopping a callback. Add callback event for updating the best metric for early stopping callback to trigger on.

* Run make style

* make funciton name sensible

* Improve new argument docstring wording and hope that flakey CI test passes.

* Use on_evaluation callback instead of custom. Remove some debug printing

* Move early stopping arguments and state into early stopping callback

* Run make style

* Remove old code

* Fix docs formatting. make style went rogue on me.

* Remove copied attributes and fix variable

* Add assertions on training arguments instead of mutating them. Move comment out of public docs.

* Make separate test for early stopping callback. Add test of invalid arguments.

* Run make style... I remembered before CI this time!

* appease flake8

* Add EarlyStoppingCallback to callback docs

* Make docstring EarlyStoppingCallabck match other callbacks.

* Fix typo in docs

* Change default cache path

* Document changes

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* working on LongformerForSequenceClassification

* add TFLongformerForMultipleChoice

* add TFLongformerForTokenClassification

* use add_start_docstrings_to_model_forward

* test TFLongformerForSequenceClassification

* test TFLongformerForMultipleChoice

* test TFLongformerForTokenClassification

* remove test from repo

* add test and doc for TFLongformerForSequenceClassification, TFLongformerForTokenClassification, TFLongformerForMultipleChoice

* add requested classes to modeling_tf_auto.py
update dummy_tf_objects
fix tests
fix bugs in requested classes

* pass all tests except test_inputs_embeds

* sync with master

* pass all tests except test_inputs_embeds

* pass all tests

* pass all tests

* work on test_inputs_embeds

* fix style and quality

* make multi choice work

* fix TFLongformerForTokenClassification signature

* fix TFLongformerForMultipleChoice, TFLongformerForSequenceClassification signature

* fix mult choice

* fix mc hint

* fix input embeds

* fix input embeds

* refactor input embeds

* fix copy issue

* apply sylvains changes and clean more
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Updated the Extractive Question Answering code snippets

The Extractive Question Answering code snippets do not work anymore since the models return task-specific output objects. This commit fixes the pytorch and tensorflow examples but adding `.values()` to the model call.

* Update task_summary.rst

* improve summary

* small fixes

* cleaned line length

* correct "" formatting

* apply sylvains suggestions

* Tokenizers should be framework agnostic

* Run the slow tests

* Not testing

* Fix documentation

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

* <small>tiny typo</small>

* Tokenizers: ability to load from model subfolder

* use subfolder for local files as well

* Uniformize model shortcut name => model id

* from s3 => from huggingface.co
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>

* add docs

* make style

* add mt5 and t5v1_1 model

* fix tests

* correct some imports

* add tf model

* finish tf t5

* improve examples

* fix copies

* clean doc

* Put models in subfolders

* Styling

* Fix imports in tests

* More fixes in test imports

* Sneaky hidden imports

* Fix imports in doc files

* More sneaky imports

* Finish fixing tests

* Fix examples

* Fix path for copies

* More fixes for examples

* Fix dummy files

* More fixes for example

* More model import fixes

* Is this why you're unhappy GitHub?

* Fix imports in conver command

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Run on the real suite

* Fix slow tests

* More doc tweaks

* Update model_sharing.rst

* make style

* missing newline

* Add email tip
Co-authored-by: Pierric Cistac <pierric@huggingface.co>

* Model sharing doc

* Style

* fix doc bug
Signed-off-by: mymusise <mymusise1@gmail.com>

* fix example bug
Signed-off-by: mymusise <mymusise1@gmail.com>

* First addition of Flax/Jax documentation
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* make style

* Ensure input order match between Bert & Roberta
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Install dependencies "all" when building doc
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* wraps build_doc deps with ""
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing @sgugger comments.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Use list to highlight JAX features.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Make style.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Let's not look to much into the future for now.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Style
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Create modeling_tf_dpr.py

* Add TFDPR

* Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot

last commit accidentally deleted these 4 lines, so I recover them back

* Add TFDPR

* Add TFDPR

* clean up some comments, add TF input-style doc string

* Add TFDPR

* Make return_dict=False as default

* Fix return_dict bug (in .from_pretrained)

* Add get_input_embeddings()

* Create test_modeling_tf_dpr.py

The current version is already passed all 27 tests!
Please see the test run at : 
https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing



* fix quality

* delete init weights

* run fix copies

* fix repo consis

* del config_class, load_tf_weights

They shoud be 'pytorch only'

* add config_class back

after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion

* newline after .. note::

* import tf, np (Necessary for ModelIntegrationTest)

* slow_test from_pretrained with from_pt=True

At the moment we don't have TF weights (since we don't have official official TF model)
Previously, I did not run slow test, so I missed this bug

* Add simple TFDPRModelIntegrationTest

Note that this is just a test that TF and Pytorch gives approx. the same output.
However, I could not test with the official DPR repo's output yet

* upload correct tf model

* remove position_ids as missing keys
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: patrickvonplaten <patrick@huggingface.co>

* s|multiple_gpu|multi_gpu|g; s|multigpu|multi_gpu|g'

* doc

* [testing utils] get_auto_remove_tmp_dir default change

Now that I have been using `get_auto_remove_tmp_dir default change` for a while, I realized that the defaults aren't most optimal.

99% of the time we want the tmp dir to be empty at the beginning of the test - so changing the default to `before=True` - this shouldn't impact any tests since this feature is used only during debug.

* simplify things

* update docs

* fix doc layout

* style

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

* better 3-state doc

* style

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

* s/tmp/temporary/ + style

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