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This is a model card for a 🤗 transformers model, which provides a comprehensive overview of the model's details, uses, training, evaluation, and more.
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Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
| Property |
Details |
| Developed by |
[Amod Sahabandu] |
| Funded by [optional] |
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| Shared by [optional] |
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| Model Type |
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| Language(s) (NLP) |
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| License |
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| Finetuned from model [optional] |
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Model Sources [optional]
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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
💡 Usage Tip
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
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Details |
| Training regime |
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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).
| Property |
Details |
| Hardware Type |
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| Hours used |
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| Cloud Provider |
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| Compute Region |
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| Carbon Emitted |
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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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Model Card Contact
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