
# my-cool-model-with-card

## 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", "library_name": "timm", "tags": ["image-classification", "resnet"], "datasets": "beans", "metrics": ["acc", "f1"]}
timm image-classification resnet en dataset:beans license:mit region:us
TAGS
#timm #image-classification #resnet #en #dataset-beans #license-mit #region-us 


# my-cool-model-with-card

## 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


# my-cool-model-with-card ## 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
#timm #image-classification #resnet #en #dataset-beans #license-mit #region-us 
 # my-cool-model-with-card ## 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
#timm #image-classification #resnet #en #dataset-beans #license-mit #region-us 
# my-cool-model-with-card## 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