
# test-hf-hub-modelcards-compatibility

## Model description

Some really helpful description...

## 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": ["accuracy", "f1"]}
timm image-classification resnet en dataset:beans license:mit region:us
TAGS
#timm #image-classification #resnet #en #dataset-beans #license-mit #region-us 


# test-hf-hub-modelcards-compatibility

## Model description

Some really helpful description...

## 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


# test-hf-hub-modelcards-compatibility ## Model description

Some really helpful description... ## 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 
 # test-hf-hub-modelcards-compatibility ## Model description

Some really helpful description... ## 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 
# test-hf-hub-modelcards-compatibility## Model description

Some really helpful description...## 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