pytorch jax bert masked-lm te transformers fill-mask
.DS_Store .gitattributes README.md config.json flax_model.msgpack log_history.json pytorch_model.bin special_tokens_map.json tokenizer_config.json training_args.bin vocab.txt model_cards/README.md
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# MyModelName

## Model description

You can embed local or remote images using `![](...)`

## Intended uses & limitations

#### How to use

```python
# You can include sample code which will be formatted
```

#### Limitations and bias

Provide examples of latent issues and potential remediations.

## Training data

Describe the data you used to train the model.
If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data.

## Training procedure

Preprocessing, hardware used, hyperparameters...

## Eval results

### BibTeX entry and citation info

```bibtex
@inproceedings{...,
  year={2020}
}
```
