---
language:
- en
license: mit
library_name: pytorch
tags:
- modelcards
- autogenerated-modelcard
datasets:
- beans
metrics:
- accuracy
---

# modelcard-creator-demo

## Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
  - [Direct Use](#direct-use)
  - [Downstream Use](#downstream-use)
  - [Misuse and Out of Scope Use](#misuse-and-out-of-scope-use)
- [Limitations and Biases](#limitations-and-biases)
- [Training](#training)
  - [Training Data](#training-data)
  - [Training Procedure](#training-procedure)
- [Evaluation Results](#evaluation-results)
- [Environmental Impact](#environmental-impact)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)


## Model Details

<!-- Give an overview of your model, the relevant research paper, who trained it, etc.  -->

This isn't really a model, it's just a test repo to see if the [model card creator](https://huggingface.co/spaces/nateraw/modelcard-creator) works!


- Developed by: Nathan Raw
- Language(s): 
- License: modelcard-creator-demo is licensed under the mit license
- Resources for more information:
  - [Research Paper](https://arxiv.org/pdf/1810.03993.pdf)
  - [GitHub Repo](https://github.com/nateraw/modelcards)


## How to Get Started with the Model 

Use the code below to get started with the model.

```python
# A nice code snippet here that describes how to use the model...
```

## Uses

#### Direct Use

<!-- Describe what kind of tasks this model can be used for directly or problems it can solve. -->

[More Information Needed]

#### Downstream Use

<!-- Describe how this model could be leveraged by a downstream model (if applicable) -->

[More Information Needed]

#### Misuse and Out-of-scope Use

<!-- Describe ways in which this model ***should not*** be used. -->

[More Information Needed]

## Limitations and Biases

<!-- Describe limitations and biases of this model or models of it's type. -->

**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propogate historical and current stereotypes.**

[More Information Needed]

## Training

#### Training Data

<!-- Describe the dataset used to train this model. -->
<!-- Refer to data card if dataset is provided and exists on the hub -->

See the data card for additional information.

#### Training Procedure

<!-- Describe the preprocessing, hardware used, training hyperparameters, etc. -->

[More Information Needed]

## Evaluation Results

<!-- Describe evaluation results of this model across any datasets it was evaluated on. -->

[More Information Needed]

## Environmental Impact

<!-- Provide information to document the environmental impact of this model -->

You can estimate carbon emissions using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700)

- **Hardware Type:** 
- **Hours used:** 
- **Cloud Provider:** 
- **Compute Region:** 
- **Carbon Emitted:** 


## Citation Information

```bibtex
@inproceedings{Mitchell_2019,
	doi = {10.1145/3287560.3287596},
  
	url = {https://doi.org/10.1145%2F3287560.3287596},
  
	year = 2019,
	month = {jan},
  
	publisher = {{ACM}
},
  
	author = {Margaret Mitchell and Simone Wu and Andrew Zaldivar and Parker Barnes and Lucy Vasserman and Ben Hutchinson and Elena Spitzer and Inioluwa Deborah Raji and Timnit Gebru},
  
	title = {Model Cards for Model Reporting},
  
	booktitle = {Proceedings of the Conference on Fairness, Accountability, and Transparency}
}
```