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Model Details
Model Description
['New_York_City', 'Oklahoma_City', 'Boston', 'Bern', 'Marshall_Islands', 'Near_East', 'Atlantic_City,_New_Jersey', 'Houston', 'Melbourne', 'Seattle', 'Mexico_City', 'Florida', 'Ann_Arbor,_Michigan', 'Raleigh,_North_Carolina', 'Bermuda', 'New_Haven,Connecticut', 'North_Carolina', 'Cork(city)', 'Detroit', 'Oklahoma', 'St._John%27s,_Newfoundland_and_Labrador', 'Alaska', 'United_States_presidential_election,_2004', 'Miami', 'Philadelphia', 'Tennessee', 'Charleston,_South_Carolina', 'Geography_of_the_United_States', '51st_state', 'Santa_Monica,_California', 'Tucson,_Arizona', 'San_Diego', 'Richmond,_Virginia']
- Developed by: nandysoham
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- Language(s) (NLP): en
- License: mit
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Model Sources [optional]
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Uses
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Bias, Risks, and Limitations
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Recommendations
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How to Get Started with the Model
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Training Details
Training Data
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Evaluation
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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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