Instructions to use CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aaditya/Llama3-OpenBioLLM-8B") model = PeftModel.from_pretrained(base_model, "CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98772f8b76d6c45ac82aca1976a2621537ac461f2b24e8473daa9ad8d7961eff
- Size of remote file:
- 17.2 MB
- SHA256:
- fbbd55b657d538b783432d985a0a85c8a96173f327724f2ed74e8966d4a82c7d
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