Instructions to use Infernaught/mllama-11b-vision-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/mllama-11b-vision-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-11B-Vision") model = PeftModel.from_pretrained(base_model, "Infernaught/mllama-11b-vision-lora") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Infernaught/mllama-11b-vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 94.6 MB
-
https://huggingface.co/Infernaught/mllama-11b-vision-lora/resolve/main/optimizer.pt
- Command line
-
hf download hf://Infernaught/mllama-11b-vision-lora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Infernaught/mllama-11b-vision-lora/resolve/main/optimizer.pt
94.6 MB
- Xet hash:
- f517353ae58335aad15c25673e6e0eb47db65b5dc5b4842b78c672313ad114b7
- Size of remote file:
- 94.6 MB
- SHA256:
- 04e2acf567dd585142b5e7636afe6bc9a4c2e16b33732b5d2046dfce2db75615
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