đ Model Card for Model ID
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 more.
đ Quick Start
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đ Documentation
⨠Model Details
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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Details |
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| 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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đĄ Uses
Direct Use
This section is for the model use without fine - tuning or plugging into a larger ecosystem/app. However, more information is needed.
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 is required.
Out - of - Scope Use
This section addresses misuse, malicious use, and uses that the model will not work well for. Details are yet to be provided.
đ§ Bias, Risks, and Limitations
This section is meant to convey both technical and sociotechnical limitations. Currently, more information is needed.
đĄ Usage Tip
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information is needed for further recommendations.
đĻ Training Details
Training Data
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Training Procedure
Preprocessing [optional]
Details about preprocessing are not available.
Training Hyperparameters
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Speeds, Sizes, Times [optional]
This section provides information about throughput, start/end time, checkpoint size if relevant, etc. Information is yet to be provided.
đ Evaluation
Testing Data, Factors & Metrics
Testing Data
This should link to a Dataset Card if possible. More information is needed.
Factors
These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. Details are missing.
Metrics
These are the evaluation metrics being used, ideally with a description of why. Specifics are not available.
Results
Results are not provided yet.
đ Model Examination [optional]
Relevant interpretability work for the model goes here. However, more information is needed.
đą Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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| Hours used |
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| Carbon Emitted |
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đ ī¸ Technical Specifications [optional]
Model Architecture and Objective
Details about the model architecture and objective are not available.
Compute Infrastructure
Hardware
Hardware details are yet to be provided.
Software
Software information is missing.
đ Citation [optional]
BibTeX:
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APA:
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đ Glossary [optional]
If relevant, include terms and calculations in this section that can help readers understand the model or model card. However, no information is provided.
đ More Information [optional]
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đ Model Card Authors [optional]
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đ Model Card Contact
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