Instructions to use jaychedaa/VISION-6K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaychedaa/VISION-6K with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "jaychedaa/VISION-6K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd91a313ec19d3681e6b63a8890f4908a53bddb371077e2185c072834d2eca6
- Size of remote file:
- 17.2 MB
- SHA256:
- 9816d43bd5347d64bccc66b7710947fb18e9818cc660215b1462061d4a44e449
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