GitLab

* add first copy past test to tf 2 generate

* add tf top_k_top_p_filter fn

* add generate function for TF

* add generate function for TF

* implemented generate for all models expect transfoXL

* implemented generate for all models expect transfoXL

* implemented generate for all models expect transfoXL

* make style

* change permission of test file to correct ones

* delete ipdb

* delete ipdb

* fix bug and finish simple gpt2 integration test

* clean test file

* clean test file

* make style

* make style

* make style

* make style

* change import style

* change import style

* make style

* make style

* add decorators

* add decorators

* fix tf ctrl bug dim => axis in TF

* make style

* make style

* refactored test file

* refactored test file

* take out test_torch_tf_conversion if nothing is defined

* take out test_torch_tf_conversion if nothing is defined

* remove useless files

* remove useless files

* fix conflicts

* fix conflicts

* fix conflicts

* fix conflicts

* fix conflicts

* solve conflicts

* solve conflicts

* fix conflicts

* fix conflicts

* merge conflicts

* delete ipdb

* exposed top_k_top_p_filtering fns

* delete weirdly created w! file

* add comment to test tf common modeling

* fix conflicts

* fix conflicts

* make style

* merge conflicts

* make style

* change tf.tensor.shape to shape_list(tensor)

That's the same fix applied in https://github.com/huggingface/transformers/issues/2258 , but for the GLUE example

cc @sshleifer

* add models cards for camembert-base-fquad camembert-base-squad

* typo fix

* debug env

* Restrict TF GPU memory

* Fixup

* One more test

* rm debug logs

* Fixup

* Pipeline doc initial commit

* pipeline abstraction

* Remove modelcard argument from pipeline

* Task-specific pipelines can be instantiated with no model or tokenizer

* All pipelines doc

- Add example of usage
- Update metrics

cc @patrickvonplaten

* correct greedy generation when doing beam search

* improve comment

see https://www.tensorflow.org/guide/gpu#limiting_gpu_memory_growth

Co-Authored-By: Funtowicz Morgan <mfuntowicz@users.noreply.github.com>
Co-Authored-By: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* force pad_token_id to be set before padding

* fix tests and forbid padding without having a padding_token_id set

`generate` code that produces 99% identical summarizations to fairseq on CNN test data, with caching.

* fix n_gpu count when no_cuda flag is activated

* someone was left behind

* Create self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* Update self-hosted.yml

* do not run slow tests, for now

* [ci] For comparison with circleci, let's also run CPU-tests

* [ci] reorganize

* clearer filenames

* [ci] Final tweaks before merging

* rm slow tests on circle ci

* Trigger CI

* On GPU this concurrency was way too high

* changes to allow for tpu training

* black

* tpu

* tpu

* * Added support for Albert when fine-tuning for NER

* Added support for Albert in NER pipeline

* Added command-line options to examples/ner/run_ner.py to better control tokenization

* Added class AlbertForTokenClassification

* Changed output for NerPipeline to use .convert_ids_to_tokens(...) instead of .decode(...) to better reflect tokens

* Added ,

* Now passes style guide enforcement

* Changes from reviews.

* Code now passes style enforcement

* Added test for AlbertForTokenClassification

* Added test for AlbertForTokenClassification

* fix issue and add some tests

* fix issue and add some tests

* updated doc string gpt2

* Fix tests on GPU (torch)

* Fix bart slow tests
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* All Tokenizers

BertTokenizer + few fixes
RobertaTokenizer
OpenAIGPTTokenizer + Fixes
GPT2Tokenizer + fixes
TransfoXLTokenizer
Correct rst for TransformerXL
XLMTokenizer + fixes
XLNet Tokenizer + Style
DistilBERT + Fix XLNet RST
CTRLTokenizer
CamemBERT Tokenizer
FlaubertTokenizer
XLMRobertaTokenizer
cleanup

* cleanup

* add first files

* add xlm roberta integration tests

* make style

* flake 8 issues solved

* change masking to direct labelings

* fix black

* switch to ignore index

* .

* fix black

* Usage: Sequence Classification & Question Answering

* Pipeline example

* Language modeling

* TensorFlow code for Sequence classification

* Custom TF/PT toggler in docs

* QA + LM for TensorFlow

* Finish Usage for both PyTorch and TensorFlow

* Addressing Julien's comments

* More assertive

* cleanup

* Favicon
- added favicon option in conf.py along with the favicon image
- udpated 🤗

 logo. slightly smaller and should appear more consistent across editing programs (no more tongue on the outside of the mouth)
Co-authored-by: joshchagani <joshua@joshuachagani.com>