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This is a model card for a đ¤ transformers model pushed on the Hub. It provides an overview of the model's details, uses, training, evaluation, and other aspects.
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⨠Features
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Model Details
Model Description
This is the model card of a đ¤ transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Uses
Direct Use
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Downstream Use [optional]
This section is for the model use when fine - tuned for a task, or when plugged into a larger ecosystem/app. [More Information Needed]
Out - of - Scope Use
This section addresses misuse, malicious use, and uses that the model will not work well for. [More Information Needed]
Bias, Risks, and Limitations
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Recommendations
đĄ 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.
Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
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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).
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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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