
# my-cool-model

## 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.  -->

Some cool model...

- Developed by: 
- Language(s): 
- License: This model is licensed under the mit license
- Resources for more information:




## 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

```
{"language": ["en"], "license": "mit", "tags": ["autogenerated-modelcard"]}
autogenerated-modelcard en arxiv:1910.09700 license:mit region:us
TAGS
#autogenerated-modelcard #en #arxiv-1910.09700 #license-mit #region-us 


# my-cool-model

## Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
  - Direct Use
  - Downstream Use
  - Misuse and Out of Scope Use
- Limitations and Biases
- Training
  - Training Data
  - Training Procedure
- Evaluation Results
- Environmental Impact
- Licensing Information
- Citation Information


## Model Details



Some cool model...

- Developed by: 
- Language(s): 
- License: This model is licensed under the mit license
- Resources for more information:




## How to Get Started with the Model 

Use the code below to get started with the model.



## Uses

#### Direct Use





#### Downstream Use





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





## Limitations and Biases



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



## Training

#### Training Data




See the data card for additional information.

#### Training Procedure





## Evaluation Results





## Environmental Impact



You can estimate carbon emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019)

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





# my-cool-model ## Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
  - Direct Use
  - Downstream Use
  - Misuse and Out of Scope Use
- Limitations and Biases
- Training
  - Training Data
  - Training Procedure
- Evaluation Results
- Environmental Impact
- Licensing Information
- Citation Information ## Model Details



Some cool model...

- Developed by: 
- Language(s): 
- License: This model is licensed under the mit license
- Resources for more information: ## How to Get Started with the Model 

Use the code below to get started with the model. ## Uses #### Direct Use #### Downstream Use #### Misuse and Out-of-scope Use ## Limitations and Biases



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




See the data card for additional information. #### Training Procedure ## Evaluation Results ## Environmental Impact



You can estimate carbon emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019)

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted:
TAGS
#autogenerated-modelcard #en #arxiv-1910.09700 #license-mit #region-us 
 # my-cool-model ## Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
  - Direct Use
  - Downstream Use
  - Misuse and Out of Scope Use
- Limitations and Biases
- Training
  - Training Data
  - Training Procedure
- Evaluation Results
- Environmental Impact
- Licensing Information
- Citation Information ## Model Details



Some cool model...

- Developed by: 
- Language(s): 
- License: This model is licensed under the mit license
- Resources for more information: ## How to Get Started with the Model 

Use the code below to get started with the model. ## Uses #### Direct Use #### Downstream Use #### Misuse and Out-of-scope Use ## Limitations and Biases



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




See the data card for additional information. #### Training Procedure ## Evaluation Results ## Environmental Impact



You can estimate carbon emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019)

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted:
passage: TAGS
#autogenerated-modelcard #en #arxiv-1910.09700 #license-mit #region-us 
# my-cool-model## Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
  - Direct Use
  - Downstream Use
  - Misuse and Out of Scope Use
- Limitations and Biases
- Training
  - Training Data
  - Training Procedure
- Evaluation Results
- Environmental Impact
- Licensing Information
- Citation Information## Model Details



Some cool model...

- Developed by: 
- Language(s): 
- License: This model is licensed under the mit license
- Resources for more information:## How to Get Started with the Model 

Use the code below to get started with the model.## Uses#### Direct Use#### Downstream Use#### Misuse and Out-of-scope Use## Limitations and Biases



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




See the data card for additional information.#### Training Procedure## Evaluation Results## Environmental Impact



You can estimate carbon emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019)

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