Instructions to use CodCodingCode/OpenBioLlama-diagnositicanV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodCodingCode/OpenBioLlama-diagnositicanV1 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/OpenBioLlama-diagnositicanV1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CodCodingCode/OpenBioLlama-diagnositicanV1: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/CodCodingCode/OpenBioLlama-diagnositicanV1/resolve/ba171425105b811e4b2067f9d79710649fb6038d/tokenizer.json
- Command line
-
hf download hf://CodCodingCode/OpenBioLlama-diagnositicanV1@ba171425105b811e4b2067f9d79710649fb6038d/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CodCodingCode/OpenBioLlama-diagnositicanV1/resolve/ba171425105b811e4b2067f9d79710649fb6038d/tokenizer.json
17.2 MB
- Xet hash:
- 51d593ef53d5cb22dfed589b5d6ff8a23e2e32f9b640d9830db27aa0efd7b4e8
- Size of remote file:
- 17.2 MB
- SHA256:
- 0968dcc0ee8e56c7dccd34a7f51f8065ea0cb9e2cc529e3243d1e5c0a4bdaa0c
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