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README.md
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---
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language:
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- en
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license: mit
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tags:
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- autogenerated-modelcard
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---
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# my-cool-model
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## Table of Contents
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- [Model Details](#model-details)
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- [How To Get Started With the Model](#how-to-get-started-with-the-model)
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- [Uses](#uses)
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- [Direct Use](#direct-use)
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- [Downstream Use](#downstream-use)
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- [Misuse and Out of Scope Use](#misuse-and-out-of-scope-use)
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- [Limitations and Biases](#limitations-and-biases)
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- [Training](#training)
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- [Training Data](#training-data)
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- [Training Procedure](#training-procedure)
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- [Evaluation Results](#evaluation-results)
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- [Environmental Impact](#environmental-impact)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Model Details
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<!-- Give an overview of your model, the relevant research paper, who trained it, etc. -->
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Some cool model...
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- Developed by:
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- Language(s):
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- License: This model is licensed under the mit license
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- Resources for more information:
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```python
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# A nice code snippet here that describes how to use the model...
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```
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## Uses
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#### Direct Use
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<!-- Describe what kind of tasks this model can be used for directly or problems it can solve. -->
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[More Information Needed]
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#### Downstream Use
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<!-- Describe how this model could be leveraged by a downstream model (if applicable) -->
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[More Information Needed]
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#### Misuse and Out-of-scope Use
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<!-- Describe ways in which this model ***should not*** be used. -->
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[More Information Needed]
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## Limitations and Biases
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<!-- Describe limitations and biases of this model or models of it's type. -->
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**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propogate historical and current stereotypes.**
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[More Information Needed]
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## Training
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#### Training Data
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<!-- Describe the dataset used to train this model. -->
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<!-- Refer to data card if dataset is provided and exists on the hub -->
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See the data card for additional information.
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#### Training Procedure
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<!-- Describe the preprocessing, hardware used, training hyperparameters, etc. -->
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[More Information Needed]
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## Evaluation Results
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<!-- Describe evaluation results of this model across any datasets it was evaluated on. -->
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[More Information Needed]
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## Environmental Impact
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<!-- Provide information to document the environmental impact of this model -->
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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)
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- **Hardware Type:**
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- **Hours used:**
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- **Cloud Provider:**
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- **Compute Region:**
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- **Carbon Emitted:**
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## Citation Information
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```bibtex
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```
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