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
Download tokenizer.json from CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test/resolve/a1eaee3d846c5bdf2f7dccc83ace5c5e2be4bc36/tokenizer.json
- Command line
-
hf download hf://CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test@a1eaee3d846c5bdf2f7dccc83ace5c5e2be4bc36/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CodCodingCode/Llama3-OpenBioLLM-8B-4bit-peft-adapter-test/resolve/a1eaee3d846c5bdf2f7dccc83ace5c5e2be4bc36/tokenizer.json
17.2 MB
- Xet hash:
- 98772f8b76d6c45ac82aca1976a2621537ac461f2b24e8473daa9ad8d7961eff
- Size of remote file:
- 17.2 MB
- SHA256:
- fbbd55b657d538b783432d985a0a85c8a96173f327724f2ed74e8966d4a82c7d
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