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GPTTest
Kshitij2406/GPTTest
GPTTest is a machine learning model from Kshitij2406. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
- Developed by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Model type: [More Information Needed] - Language(s) (NLP): [More Informat…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Dec 15, 2023
- Updated
- Dec 19, 2023
- SHA
- c3934d93
Base models
Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- Developed by: [More Information Needed]
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Model type: [More Information Needed]
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- License: [More Information Needed]
- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
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Uses
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Out-of-Scope Use
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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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Training Procedure
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
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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
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->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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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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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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Framework versions
- PEFT 0.7.2.dev0
- Library
- peft
- Created
- Dec 15, 2023
- Updated
- Dec 19, 2023