Model Card for Model ID
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this raw template.
Model Details
Model Description
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- Language(s) (NLP): [More Information Needed]
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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
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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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).
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- Hours used: [More Information Needed]
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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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Model Card Contact
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filter: [
{
bool: {
/// Include documents that match at least one of the following rules
should: [
/// Downloaded from diffusers lib
{
term: { path: "model_index.json" },
},
/// Direct downloads (LoRa, Auto1111 and others)
/// Filter out nested safetensors and pickle weights to avoid double counting downloads from the diffusers lib
{
regexp: { path: "[^/]\.safetensors" },
},
{
regexp: { path: "[^/]\.ckpt" },
},
{
regexp: { path: "[^/]*\.bin" },
},
],
minimum_should_match: 1,
},
},
]
}
