Instructions to use k1h0/codellama-7b-prefix-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use k1h0/codellama-7b-prefix-java with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "k1h0/codellama-7b-prefix-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae20a9c1916fb4be513b3ae44e130e8998d3236aad3d9433da5f3f69f9ed7ed
- Size of remote file:
- 10.5 MB
- SHA256:
- 16bc5a7b19cfae6ebe631d3ec5a64df1f4092a9bd27334ebe7c1c7736249a098
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