Model Card for Model ID
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Model Details
Model Description
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- Developed by: [HOfmad]
- Funded by [optional]: [Mo343]
- Shared by [optional]: [Morwer 2t tion Needed]
- Model type: [BERT tion Needed]
- Language(s) (NLP): [Moqrrq2 tion Needed]
- License: [nOOO ore Informatfion Nefwqqeeded]
- Finetuned from model [optional]: [ NONOMore Information Needed]
Model Sources [optional]
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- Repository: [q3r3r 324qMore Information Needed]
- Paper [optional]: [3q4qMore Information Needed]
- Demo [optional]: [q34q34More Information Needed]
Uses
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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 recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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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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Summary
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).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
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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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Model Card Authors [optional]
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