GitLab

* Create Readme.MD for KanBERTo

KanBERTo language model readme for Kannada language.

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

* remove the implied defaults to :obj:`None`

* fix bug in the original

* replace to :obj:`True`, :obj:`False`

* correct bool types

fix docstring s/int/bool/

* fix description

* fix num_labels to match reality

* Remove hard-coded uses of float32 to fix mixed precision use in TF Distilbert

* fix style

* fix gelu dtype issue in TF Distilbert

* fix numeric overflow while using half precision

* move wandb/comet logger init to train() to allow parallel logging

* Setup wandb/comet loggers on first call to log()

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Loodos model cards had errors on "Usage" section. It is fixed. Also "electra-base-turkish-uncased" model removed from s3 and re-uploaded as "electra-base-turkish-uncased-discriminator". Its README added. (#6921)
Co-authored-by: Abdullah Oluk <abdullaholuk123@gmail.com>

cc @psorianom @rachelker

Adding the LXMERT pretraining model (MultiModal  languageXvision)  to HuggingFace's suite of models (#5793)

* added template files for LXMERT and competed the configuration_lxmert.py

* added modeling, tokization, testing, and finishing touched for lxmert [yet to be tested]

* added model card for lxmert

* cleaning up lxmert code

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

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

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

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

* tested torch lxmert, changed documtention, updated outputs, and other small fixes

* Update src/transformers/convert_pytorch_checkpoint_to_tf2.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/c...

Since `generate()` does:
```
        num_beams = num_beams if num_beams is not None else self.config.num_beams
```
This test fails if `model.config.num_beams > 1` (which is the case in the model I'm porting).

This fix makes the test setup unambiguous by passing an explicit `num_beams=1` to `generate()`.

Thanks.

* Fix output_attention -> output_attentions

* Formatting

* One unsaved file

* add Text2TextGenerationPipeline

* remove max length warning

* remove comments

* remove input_length

* fix typo

* add tests

* use TFAutoModelForSeq2SeqLM

* doc

* typo

* add the doc below TextGenerationPipeline

* doc nit

* style

* delete comment

* [doc] typos

fixed typos

* Update README.md

outptus -> outputs in example of BertForPreTraining

* Create README.md

Model card for huBERT.

* Update README.md

lowercase h

* Update model_cards/SZTAKI-HLT/hubert-base-cc/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

Fix range of possible score, add inference .

Co-authored-by: zolekode <pascal.zoleko@fau.de>

Add language meta attribute