๐ Model Card for Model ID
This is a model card for a ๐ค transformers model pushed on the Hub. It provides an overview of the model's details, uses, training, evaluation, and more.
๐ Quick Start
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โจ Features
This section is currently under construction. More details about the model's features will be provided soon.
๐ Documentation
๐ Model Details
- Developed by: [TANYA TOMAR ]
- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
๐ Uses
๐ Direct Use
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โก๏ธ Downstream Use [optional]
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โ Out-of-Scope Use
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โ ๏ธ Bias, Risks, and Limitations
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๐ก 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.
๐ง Training Details
๐ Training Data
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๐ Training Procedure
๐ ๏ธ Preprocessing [optional]
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โ๏ธ Training Hyperparameters
- Training regime: [More Information Needed]
โฑ๏ธ Speeds, Sizes, Times [optional]
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๐ Evaluation
๐งช Testing Data, Factors & Metrics
๐ Testing Data
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๐ Factors
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๐ Metrics
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๐ Results
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๐ Summary
๐ฌ Model Examination [optional]
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๐ฑ Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
๐ ๏ธ Technical Specifications [optional]
๐ Model Architecture and Objective
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๐ฅ๏ธ Compute Infrastructure
๐ป Hardware
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๐ฑ Software
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๐ Citation [optional]
BibTeX
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APA
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๐ Glossary [optional]
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โน๏ธ More Information [optional]
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โ๏ธ Model Card Authors [optional]
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๐ Model Card Contact
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