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:
- ccda81ce4e68f02980ff094621b5699f9f708846ba43b40d3a930bbf8292ea0f
- Size of remote file:
- 109 MB
- SHA256:
- 2fccb64d232e00129210a6953502cfe65577b303fd1ba19c7039f55b2092941f
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