GitLab

* Update sqrt computation so it can survive a torch.jit.trace

* Update modeling_gpt2.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* change encoder decoder style to bart & t5 style

* make encoder decoder generation dummy work for bert

* make style

* clean init config in encoder decoder

* add tests for encoder decoder models

* refactor and add last tests

* refactor and add last tests

* fix attn masks for bert encoder decoder

* make style

* refactor prepare inputs for Bert

* refactor

* finish encoder decoder

* correct typo

* add docstring to config

* finish

* add tests

* better naming

* make style

* fix flake8

* clean docstring

* make style

* rename

* fix empty prompt

* fix length in generation pipeline

Model card for illuin release of camembert-base-fquad

* Add dehatebert-mono-arabic readme card

* Update dehatebert-mono-arabic model card

* Fix tpo in into and add line under

* Add missing blank line under

* Correct types under

* add model card for gpt2-imdb-ctrl

* fix title

* add sentiment control description

Close #3921

* Shuffle train subset

* Cleaner shuffle

Close #3920

See https://github.com/huggingface/transformers/pull/3881/files#r412292660

Should we remove SRC_DIR from sys.path right after the imports, @aaugustin?

Fix TFAlbertForSequenceClassification classifier dropout probability. It was set to config.hidden_dropout_prob, but should be config.classifier_dropout_prob. (#3928)

cc @sshleifer

Model: TinyBERT-spanish-uncased-finetuned-ner

* Add GenerationPipeline

* Fix parameter names

* Correct parameter __call__ parameters

* Add model type attribute and correct function calls for prepare_input

* Take out trailing commas from init attributes

* Remove unnecessary tokenization line

* Implement support for multiple text inputs

* Apply generation support for multiple input text prompts

* Take out tensor coersion

* Take out batch index

* Add text prompt to return sequence

* Squeeze token tensore before decoding

* Return only a single list of sequences if only one prompt was used

* Correct results variable name

* Add GenerationPipeline to SUPPORTED_TASKS with the alias , initalized w GPT2

* Registedred AutoModelWithLMHead for both pt and t

* Update docstring for GenerationPipeline

* Add kwargs parameter to mode.generate

* Take out kwargs parameter after all

* Add generation pipeline example in pipeline docstring

* Fix max length by squeezing tokens tensor

* Apply ensure_tensor_on_device to pytorch tensor

* Include generation step in torch.no_grad

* Take out input from prepare_xlm_input and set 'en' as default xlm_language

* Apply framework specific encoding during prepare_input

* Format w make style

* Move GenerationPipeline import to follow proper import sorting

* Take out training comma from generation dict

* Apply requested changes

* Change name to TextGenerationPipeline

* Apply TextGenerationPipeline rename to __init___

* Changing alias to

* Set input mapping as input to ensure_tensor_on_device

* Fix assertion placement

* Add test_text_generation

* Add TextGenerationPipeline to PipelineCommonTests

* Take out whitespace

* Format __init__ w black

* Fix __init__ style

* Forman __init___

* Add line to end of __init__

* Correct model tokenizer set for test_text_generation

* Ensure to return list of list, not list of string (to pass test)

* Limit test models to only 3 to limit runtime to address circleCI timeout error

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/test_pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Remove argument docstring, __init__, add additional __call__ arguments, and reformat results to list of dict

* Fix blank result list

* Add TextGenerationPipeline to pipelines.rst

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix typos from adding PADDING_TEXT_TOKEN_LENGTH

* Fix incorrectly moved result list

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py

* Update src/transformers/pipelines.py
Co-Authored-By: Patrick von Platen <patrick.v.platen@gmail.com>

* Add back generation line and make style

* Take out blank whitespace

* Apply new alis, text-generation, to test_pipelines

* Fix text generation alias in test

* Update src/transformers/pipelines.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* doc

* [tests] Add sample files for a regression task

* [HUGE] Trainer

* Feedback from @sshleifer

* Feedback from @thomwolf + logging tweak

* [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes

* [glue] Use default max_seq_length of 128 like before

* [glue] move DataTrainingArguments around

* [ner] Change interface of InputExample, and align run_{tf,pl}

* Re-align the pl scripts a little bit

* ner

* [ner] Add integration test

* Fix language_modeling with API tweak

* [ci] Tweak loss target

* Don't break console output

* amp.initialize: model must be on right device before

* [multiple-choice] update for Trainer

* Re-align to 827d6d6e