pytorch wav2vec2 Guj dataset:google transformers audio automatic-speech-recognition speech xlsr-fine-tuning-week license:apache-2.0
.gitattributes README.md config.json preprocessor_config.json pytorch_model.bin scheduler.pt special_tokens_map.json template.README.md tokenizer_config.json trainer_state.json training_args.bin vocab.json
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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}
}
```
