GitLab

* [hf_api] Attach all unknown attributes for future-proof compatibility

* [Pipeline] NerPipeline is really a TokenClassificationPipeline

* modelcard.py: I don't think we need to force the download

* Remove config, tokenizer from SUPPORTED_TASKS as we're moving to one model = one weight + one tokenizer

* FillMaskPipeline: also output token in string form

* TextClassificationPipeline: option to return all scores, not just the argmax

* Update docs/source/main_classes/pipelines.rst

* Create README.md

* Create README.md

* Create README.md

* improve handling of short inputs for reformer

* correct typo in assert statement

* fix other tests

* Glue task cleaup

* Enable writing cache to cache_dir in case dataset lives in readOnly
filesystem.
* Differentiate match vs mismatch for MNLI metrics.

* Style

* Fix pytype

* Fix type

* Use cache_dir in mnli mismatch eval dataset

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

* 🐛 Fix model ids for BART and Flaubert

* Kill model archive maps

* Fixup

* Also kill model_archive_map for MaskedBertPreTrainedModel

* Unhook config_archive_map

* Tokenizers: align with model id changes

* make style && make quality

* Fix CI

* allow to not add special tokens

* remove print

Fixes bug reported in https://github.com/huggingface/transformers/issues/4669

See #3967 for context

* pass on tokenizer to pipeline

* order input names when convert to onnx

* update style

* remove unused imports

* make ordered inputs list needs to be mutable

* add test custom bert model

* remove unused imports

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

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

Readme for HooshvareLab/bert-base-parsbert-armananer-uncased

Readme for HooshvareLab/bert-base-parsbert-peymaner-uncased

mBERT results added regarding NER datasets!

* fix bug

* add more tests