GitLab

* Add model cards for Microsoft's MiniLM

* XLMRobertaTokenizer

* format

* Add thumbnail

* finishing up

* Add MobileBert

* Quality + Conversion script

* style

* Update src/transformers/modeling_mobilebert.py

* Links to S3

* Style

* TFMobileBert

Slight fixes to the pytorch MobileBert
Style

* MobileBertForMaskedLM (PT + TF)

* MobileBertForNextSentencePrediction (PT + TF)

* MobileFor{MultipleChoice, TokenClassification} (PT + TF)


ss

* Tests + Auto

* Doc

* Tests

* Addressing @sgugger's comments

* Adressing @patrickvonplaten's comments

* Style

* Style

* Integration test

* style

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

* Add reference to NLP dataset

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

* Add reference to NLP (package) dataset

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

* Create README.md

* Update model_cards/ipuneetrathore/bert-base-cased-finetuned-finBERT/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* [model card] model card for bart-large-finetuned-squadv1

* add metadata link to the dataset

see corresponding model pages to see how it's rendered

https://huggingface.co/tblard/tf-allocine

* Model cad for SanBERTa

Model Card for RoBERTa trained on Sanskrit

* Model card for SanBERTa

model card for RoBERTa trained on Sanskrit

* Create README.md

* Create README.md

* Create README.md

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

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

mBERT results added regarding NER datasets!

* adding freeze roberta models

* model cards

* lint

HooshvareLab/bert-base-parsbert-uncased

Co-authored-by: kldarek <darekmail>

Model card for cased model

Here I am uploading Mongolian masked language model (ALBERT) on your platform.
https://en.wikipedia.org/wiki/Mongolia

* updated aubmindlab/bert-base-arabert/ Model card

* updated aubmindlab/bert-base-arabertv01 model card

Add language metadata, training and evaluation corpora details.
Add example output. Fix inconsistent use of quotes.

I looks like the conference has changed the link to the paper.

cc @sshleifer