Instructions to use BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ContactDoctor/Bio-Medical-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned/resolve/main/adapter_model.safetensors
18.9 MB
- Xet hash:
- 4d71b40514394b04f71534744e043dbc2d0022b2ba31af37bdb2c0c65d94d472
- Size of remote file:
- 18.9 MB
- SHA256:
- 03d0b63dc6fe16bcc072d3f7f39bd89b0b2c213a72157ed09e28e92d7e43ab4f
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