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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

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  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
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  • Related Models [optional]: [More Information Needed]
    • Parent Model [optional]: [More Information Needed]
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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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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

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Training Procedure [optional]

Preprocessing

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Speeds, Sizes, Times

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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 [optional]

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Environmental Impact

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

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  • Carbon Emitted: [More Information Needed]

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 [optional]

BibTeX:

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APA:

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Glossary [optional]

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More Information [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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