GitLab

* added bangla-bert-base

* Apply suggestions from code review
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Add tests and fix various bugs in ModelOutput

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

* More readable dict

* More nlp -> datasets

* Revert "More nlp -> datasets"

This reverts commit 3cd1883d226c63c4a686fc1fed35f2cd586ebe45.

* Automate the lists in auto-xxx docs

* More readable dict

* Revert "More nlp -> datasets"

This reverts commit 3cd1883d226c63c4a686fc1fed35f2cd586ebe45.

* Automate the lists in auto-xxx docs

* nlp -> datasets

* Fix new key

* these tests require non-multigpu env

* cleanup

* clarify

* nlp -> datasets

* More nlp -> datasets

* Woopsie

* More nlp -> datasets

* One last

* correct docs for bert generation

* upload

* fix to ensure that returned tensors after the tokenization is Long

* fix to ensure that returned tensors after the tokenization is Long
Co-authored-by: Ashwin Geet Dsa <adsa@grvingt-6.nancy.grid5000.fr>

* Add TF Funnel Transformer

* Proper dummy input

* Formatting

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

* Address review comments

* One review comment forgotten
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add conversion script

* improve conversion script

* make style

* add tryout files

* fix

* update

* add causal bert

* better names

* add tokenizer file as well

* finish causal_bert

* fix small bugs

* improve generate

* change naming

* renaming

* renaming

* renaming

* remove leftover files

* clean files

* add fix tokenizer

* finalize

* correct slow test

* update docs

* small fixes

* fix link

* adapt check repo

* apply sams and sylvains recommendations

* fix import

* implement Lysandres recommendations

* fix logger warn

* add dataset for albert pretrain

* datacollator for albert pretrain

* naming, comprehension, file reading change

* data cleaning is no needed after this modification

* delete prints

* fix a bug

* file structure change

* add tests for albert datacollator

* remove random seed

* add back len and get item function

* sample file for testing and test code added

* format change for black

* more format change

* Style

* var assignment issue resolve

* add back wrongly deleted DataCollatorWithPadding in init file

* Style
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

1. Swapped missing_keys and unexpected_keys.

2. Copy&paste error caused these warnings to say "from TF 2.0" when it's actually "from PyTorch".

Batch encore plus and overflowing tokens fails when non existing overflowing tokens for a sequence (#6677)

* Patch and test

* Fix tests

Currently beam search returns inconsistent outputs - if hypos have different lengths we get eos, if they are the same - we don't.

This PR makes the output consistent.

Also why not also replace:

```
            if sent_lengths[i] < max_length:
                decoded[i, sent_lengths[i]] = eos_token_id
```
with:
```
            decoded[i, sent_lengths[i]] = eos_token_id
```
Shouldn't eos always be there? If the data gets truncated, the caller needs to user a larger `max_length`.

Please correct me if my logic is flawed.

* introduce TRANSFORMERS_VERBOSITY env var + test + test helpers

* cleanup

* remove helper function