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* Exposing prepare_for_model for both slow & fast tokenizers

* Update method signature

* The traditional style commit

* Hide the warnings behind the verbose flag

* update default truncation strategy and prepare_for_model

* fix tests and prepare_for_models methods
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

Create model card for electicidad-small (Spanish Electra) fine-tuned on SQUAD-esv1

- fixed grammar and spelling
- added an intro
- updated Training data references

Create model card for electra-small-discriminator fine-tuned on SQUAD v2.0

* Make QA pipeline supports models with more than 2 outputs such as BART assuming start/end are the two first outputs.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* When using the new padding/truncation paradigm setting padding="max_length" + max_length=X actually pads the input up to max_length.

This result in every sample going through QA pipelines to be of size 384 whatever the actual input size is making the overall pipeline very slow.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Mask padding & question before applying softmax. Softmax has been refactored to operate in log space for speed and stability.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Format.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Use PaddingStrategy.LONGEST instead of DO_NOT_PAD
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Revert "When using the new padding/truncation paradigm setting padding="max_length" + max_length=X actually pads the input up to max_length."

This reverts commit 1b00a9a2
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Trigger CI after unattended failure

* Trigger CI

* Work on tokenizer summary

* Finish tutorial

* Link to it

* Apply suggestions from code review
Co-authored-by: Anthony MOI <xn1t0x@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add vocab definition
Co-authored-by: Anthony MOI <xn1t0x@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

`ElectraDiscriminatorPredictions.forward` should not need `attention_mask`.

Create model card for electra-base-discriminator fine-tuned on SQUAD v1.1

* overriding _parse_and_tokenize in `TextGenerationPipeine` to allow for TransfoXl tokenizer arguments

* Changed expected_output_ids in TransfoXL generation test to match #4826 generation PR.

* making black happy

* making isort happy

Fixed duplicated memory use in Transformer-XL generation leading to bad predictions and performance.

* Add Reformer MLM notebook

* Update notebooks/README.md

* fix conflicts

* fix

* happy rebasing

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* allow tensor label inputs to default collator

* replace try/except with type check

* refactor naming

* add small slow test

* refactor

* refactor naming

* rename selected to extra

* big global attention refactor

* make style

* refactor naming

* save intermed

* refactor functions

* finish function refactor

* fix tests

* fix longformer

* fix longformer

* fix longformer

* fix all tests but one

* finish longformer

* address sams and izs comments

* fix transpose

* Added PipelineException
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fill-mask pipeline raises exception when more than one mask_token detected.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Put everything in a function.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added tests on pipeline fill-mask when input has != 1 mask_token
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix numel() computation for TF
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Addressing PR comments.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Remove function typing to avoid import on specific framework.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Quality.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Retry typing with @julien-c tip.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Quality².
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Simplify fill-mask mask_token checking.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Trigger CI

* Trigger CI

* Fix dropdown bug in searches

* Cleanup and unify Trainer/TFTrainer

* Forgot to adapt TFTrainingArgs

* In tf scripts n_gpu -> n_replicas

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

* Address review comments

* Formatting

* Fix typo
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add support for past states

* Style and forgotten self

* You mean, documenting is not enough? I have to actually add it too?

* Add memory support during evaluation

* Fix tests in eval and add TF support

* No need to change this line anymore

* Create README.md

* Update model_cards/MoseliMotsoehli/TswanaBert/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* fix TensorFlow generator

* Better features handling

* Apply style

* Apply style

* Fix squad as well

* Apply style

* Better factorization of TF Tensors creation

Otherwise, if label is not specified, the following error occurs:

	Traceback (most recent call last):
	  File "run_ner.py", line 303, in <module>
	    main()
	  File "run_ner.py", line 101, in main
	    model_args, data_args, training_args = parser.parse_json_file(json_file=os.path.abspath(sys.argv[1]))
	  File "/home/user/anaconda3/envs/bert/lib/python3.7/site-packages/transformers/hf_argparser.py", line 159, in parse_json_file
	    obj = dtype(**inputs)
	TypeError: __init__() missing 1 required positional argument: 'labels'