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Table of Contents

  1. Model Details
  2. Uses
  3. Bias, Risks, and Limitations
  4. Model Examination
  5. Environmental Impact
  6. Citation
  7. Glossary
  8. More Information
  9. Model Card Authors
  10. Model Card Contact

Table of Contents

  1. Model Details
  2. Uses
  3. Bias, Risks, and Limitations
  4. Training Details
  5. Evaluation
  6. Model Examination
  7. Environmental Impact
  8. Technical Specifications
  9. Citation
  10. Glossary
  11. More Information
  12. Model Card Authors
  13. Model Card Contact
  14. How To Get Started With the Model

Model Details

Model Description

  • Developed by: More information needed

  • Shared by [Optional]: More information needed

  • Model type: Language model

  • Language(s) (NLP): More information needed

  • License: More information needed

  • Related Models: fake_model1, fake_model2

    • Parent Model: More information needed
  • Resources for more information: More information needed

Uses

Direct Use

The model can be used for text generation.

Downstream Use [Optional]

To learn more about this task and potential downstream uses, see the Hugging Face text generation docs

Out-of-Scope Use

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

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

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

More information on training data needed

Training Procedure

Preprocessing

More information needed

Speeds, Sizes, Times

More information needed

Evaluation

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

More information needed

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: More information needed
  • Hours used: More information needed
  • Cloud Provider: More information needed
  • Compute Region: More information needed
  • Carbon Emitted: More information needed

Technical Specifications [optional]

Model Architecture and Objective

More information needed

Compute Infrastructure

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Hardware

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Software

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Citation

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

More information needed

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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