sbassam/model_card

language	thumbnail	tags	license	datasets	metrics
ISO 639-1 code for your language, or `multilingual`	url to a thumbnail used in social sharing	array of tags	any valid license identifier	array of dataset identifiers	array of metric identifiers

Model name

Model description

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

Intended uses & limitations

How to use

# 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

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