Model Card for model-card-testing
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Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Model Examination
- Environmental Impact
- Citation
- Glossary
- More Information
- Model Card Authors
- Model Card Contact
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Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Training Details
- Evaluation
- Model Examination
- Environmental Impact
- Technical Specifications
- Citation
- Glossary
- More Information
- Model Card Authors
- Model Card Contact
- How To Get Started With the Model
Model Details
Model Description
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Developed by: More information needed
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Shared by [Optional]: More information needed
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Model type: Language model
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Language(s) (NLP): More information needed
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License: More information needed
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Related Models: fake_model1, fake_model2
- Parent Model: More information needed
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Resources for more information: More information needed
Uses
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Direct Use
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The model can be used for text generation.
Downstream Use [Optional]
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To learn more about this task and potential downstream uses, see the Hugging Face text generation docs
Out-of-Scope Use
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The model should not be used to intentionally create hostile or alienating environments for people. The model was not trained to be factual or true representations of people or events, and therefore using the models to generate such content is out-of-scope for the abilities of this model.
Bias, Risks, and Limitations
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Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations.
Training Details
Training Data
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More information on training data needed
Training Procedure
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Preprocessing
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Speeds, Sizes, Times
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More information needed
Evaluation
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Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Model Examination
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Environmental Impact
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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- Hours used: More information needed
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation
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BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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How to Get Started with the Model
Use the code below to get started with the model.
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