Instructions to use jojo-baseten/llama-vision-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jojo-baseten/llama-vision-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "jojo-baseten/llama-vision-lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jojo-baseten/llama-vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/jojo-baseten/llama-vision-lora/resolve/main/training_args.bin
- Command line
-
hf download hf://jojo-baseten/llama-vision-lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jojo-baseten/llama-vision-lora/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- e655f100729d2e76b33ac074827fc526a4c879663a3ed98831c33213851e85fc
- Size of remote file:
- 5.69 kB
- SHA256:
- 7159d8f91fe644de34c5ef49b0f5bfcccad58ed0f6cdc6aa9990bd2a25a78220
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