Instructions to use documint/google-codegemma-2b-documint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use documint/google-codegemma-2b-documint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-2b") model = PeftModel.from_pretrained(base_model, "documint/google-codegemma-2b-documint") - Notebooks
- Google Colab
- Kaggle
Update README.md
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@@ -17,7 +17,7 @@ The goal of the DocuMint model is to generate docstrings that are concise (brief
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- **Developed by:** Bibek Poudel, Adam Cook, Sekou Traore, Shelah Ameli (University of Tennessee, Knoxville)
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- **Model type:** Causal language model fine-tuned for code documentation generation
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- **Language(s) (NLP):** English, Python
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- **License:** MIT
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- **Developed by:** [Bibek Poudel](https://huggingface.co/matrix-multiply), [Adam Cook](https://huggingface.co/acook46), [Sekou Traore](https://huggingface.co/Sekou79), [Shelah Ameli](https://huggingface.co/Shelah) (University of Tennessee, Knoxville)
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- **Model type:** Causal language model fine-tuned for code documentation generation
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- **Language(s) (NLP):** English, Python
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- **License:** MIT
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