'[object Object]': null
Model Card for {{ model_id | default("Model ID", true) }}
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Model Details
Model Description
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- Developed by: {{ developers | default("[More Information Needed]", true)}}
- Funded by [optional]: {{ funded_by | default("[More Information Needed]", true)}}
- Shared by [optional]: {{ shared_by | default("[More Information Needed]", true)}}
- Model type: {{ model_type | default("[More Information Needed]", true)}}
- Language(s) (NLP): {{ language | default("[More Information Needed]", true)}}
- License: {{ license | default("[More Information Needed]", true)}}
- Finetuned from model [optional]: {{ base_model | default("[More Information Needed]", true)}}
Model Sources [optional]
- Repository: {{ repo | default("[More Information Needed]", true)}}
- Paper [optional]: {{ paper | default("[More Information Needed]", true)}}
- Demo [optional]: {{ demo | default("[More Information Needed]", true)}}
Uses
Direct Use
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Downstream Use [optional]
{{ downstream_use | default("[More Information Needed]", true)}}
Out-of-Scope Use
{{ out_of_scope_use | default("[More Information Needed]", true)}}
Bias, Risks, and Limitations
{{ bias_risks_limitations | default("[More Information Needed]", true)}}
Recommendations
{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
How to Get Started with the Model
Use the code below to get started with the model.
{{ get_started_code | default("[More Information Needed]", true)}}
Training Details
Training Data
{{ training_data | default("[More Information Needed]", true)}}
Training Procedure
Preprocessing [optional]
{{ preprocessing | default("[More Information Needed]", true)}}
Training Hyperparameters
- Training regime: {{ training_regime | default("[More Information Needed]", true)}}
Speeds, Sizes, Times [optional]
{{ speeds_sizes_times | default("[More Information Needed]", true)}}
Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
{{ testing_factors | default("[More Information Needed]", true)}}
Metrics
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Results
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Summary
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Model Examination [optional]
{{ model_examination | default("[More Information Needed]", true)}}
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: {{ hardware_type | default("[More Information Needed]", true)}}
- Hours used: {{ hours_used | default("[More Information Needed]", true)}}
- Cloud Provider: {{ cloud_provider | default("[More Information Needed]", true)}}
- Compute Region: {{ cloud_region | default("[More Information Needed]", true)}}
- Carbon Emitted: {{ co2_emitted | default("[More Information Needed]", true)}}
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
{{ compute_infrastructure | default("[More Information Needed]", true)}}
Hardware
{{ hardware_requirements | default("[More Information Needed]", true)}}
Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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More Information [optional]
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Model Card Authors [optional]
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Model Card Contact
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