modelcard-creator-demo
Table of Contents
- Model Details
- How To Get Started With the Model
- Uses
- Limitations and Biases
- Training
- Evaluation Results
- Environmental Impact
- Licensing 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 works!
- Developed by: Nathan Raw
- Language(s):
- License: modelcard-creator-demo 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.
# 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 presented in Lacoste et al. (2019)
- Hardware Type:
- Hours used:
- Cloud Provider:
- Compute Region:
- Carbon Emitted:
Citation Information
@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}
}