
# MyModelName

## Model description

This isn't really a model, it's just a test repo to see if the [modelcards](https://github.com/nateraw/modelcards) package works!

## 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

Provide some evaluation results.

### BibTeX entry and citation info

```bibtex
@inproceedings{...,
  year={2020}
}
```
{"language": "en", "license": "mit", "tags": ["image-classification"], "datasets": "beans", "model-index": [{"name": "my-cool-model-with-card-2", "results": [{"task": {"type": "image-classification"}, "dataset": {"name": "Beans", "type": "beans"}, "metrics": [{"type": "acc", "value": 0.9}]}]}]}
image-classification en dataset:beans license:mit model-index region:us
TAGS
#image-classification #en #dataset-beans #license-mit #model-index #region-us 


# MyModelName

## Model description

This isn't really a model, it's just a test repo to see if the modelcards package works!

## Intended uses & limitations

#### How to use



#### 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

Provide some evaluation results.

### BibTeX entry and citation info


# MyModelName ## Model description

This isn't really a model, it's just a test repo to see if the modelcards package works! ## Intended uses & limitations #### How to use #### 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

Provide some evaluation results. ### BibTeX entry and citation info
TAGS
#image-classification #en #dataset-beans #license-mit #model-index #region-us 
 # MyModelName ## Model description

This isn't really a model, it's just a test repo to see if the modelcards package works! ## Intended uses & limitations #### How to use #### 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

Provide some evaluation results. ### BibTeX entry and citation info
passage: TAGS
#image-classification #en #dataset-beans #license-mit #model-index #region-us 
# MyModelName## Model description

This isn't really a model, it's just a test repo to see if the modelcards package works!## Intended uses & limitations#### How to use#### 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

Provide some evaluation results.### BibTeX entry and citation info