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 tokenizer.json from Infernaught/mllama-11b-vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Infernaught/mllama-11b-vision-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://Infernaught/mllama-11b-vision-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Infernaught/mllama-11b-vision-lora/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- bfd91a313ec19d3681e6b63a8890f4908a53bddb371077e2185c072834d2eca6
- Size of remote file:
- 17.2 MB
- SHA256:
- 9816d43bd5347d64bccc66b7710947fb18e9818cc660215b1462061d4a44e449
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