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  language:
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  - ko
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  Model Description
 
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- Training Method
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Datasets
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - ko
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  ---
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+ Model Card for Model ID
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+ Model Details
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  Model Description
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ Developed by: [More Information Needed]
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+ Funded by [optional]: [More Information Needed]
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+ Shared by [optional]: [More Information Needed]
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+ Model type: [More Information Needed]
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+ Language(s) (NLP): [More Information Needed]
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+ License: [More Information Needed]
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+ Finetuned from model [optional]: [More Information Needed]
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+ Model Sources [optional]
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+ Repository: [More Information Needed]
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+ Paper [optional]: [More Information Needed]
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+ Demo [optional]: [More Information Needed]
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+ Uses
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+ Direct Use
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+ [More Information Needed]
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+ Downstream Use [optional]
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+ [More Information Needed]
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+
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+ Out-of-Scope Use
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+ [More Information Needed]
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+
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+ Bias, Risks, and Limitations
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+ [More Information Needed]
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+ Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+ Training Details
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+ Training Data
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+ [More Information Needed]
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+
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+ Training Procedure
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+ Preprocessing [optional]
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+ [More Information Needed]
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+
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+ Training Hyperparameters
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+ Training regime: [More Information Needed]
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+ Speeds, Sizes, Times [optional]
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+ [More Information Needed]
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+ Evaluation
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+ Testing Data, Factors & Metrics
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+ Testing Data
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+ [More Information Needed]
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+
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+ Factors
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+ [More Information Needed]
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+ Metrics
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+ [More Information Needed]
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+ Results
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+ [More Information Needed]
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+ Summary
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+ Model Examination [optional]
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+ [More Information Needed]
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+ Environmental Impact
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+ Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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+ Hardware Type: [More Information Needed]
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+ Hours used: [More Information Needed]
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+ Cloud Provider: [More Information Needed]
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+ Compute Region: [More Information Needed]
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+ Carbon Emitted: [More Information Needed]
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+ Technical Specifications [optional]
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+ Model Architecture and Objective
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+ [More Information Needed]
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+ Compute Infrastructure
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+ [More Information Needed]
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+ Hardware
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+ [More Information Needed]
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+ Software
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+ [More Information Needed]
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+ Citation [optional]
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+ BibTeX:
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+ [More Information Needed]
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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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+ [More Information Needed]
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+ Model Card Contact
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+ [More Information Needed]