GitLab

* added model_kwargs to infer_framework_from_model

* added model_kwargs to tokenizer

* added use_auth_token as named parameter

* added dynamic get for use_auth_token

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

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

* Add more metadata to the user agent

* Fix typo

* Use DISABLE_TELEMETRY

* Address review comments

* Use global env

* Add clean envs on circle CI

* Instantiate model only once in pipeline

* Remove documentation of deprecated method

* Add FutureWarning

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

* Allow to pass kwargs to model's from_pretrained when using pipeline.

* Disable the use of past_keys_values for GPT2 when exporting to ONNX.

* style

* Remove comment.

* Appease the documentation gods

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

* Changing model default for TableQuestionAnsweringPipeline.

- Discussion: https://discuss.huggingface.co/t/table-question-answering-is-not-an-available-task-under-pipeline/3284/6

* Updating slow tests that were out of sync.

* Splitting pipelines into its own module.

* Moving everything into base.py

* Moving FeatureExtractionPipeline into its own file.

* TextGenerationPipeline.

* TextClassifictionPipeline

* ZeroShot + get_framework import.

* FillMaskPipeline

* NerPipeline + TokenClassificationPipeline

* QuestionAnsweringPipeline

* TableQuestionAnsweringPipeline

* ConversationnalPipeline

* Text2TextGenerationPipeline, TranslationPipeline, SummarizationPipeline

* Typo import fix.

* Relative imports.