Instructions to use windgrin/q2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/q2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "windgrin/q2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b5d5a4be3d7d19a1474446e1618241225b46f97048ac89ea20ee3dff0e6aa8e
- Size of remote file:
- 14.2 kB
- SHA256:
- 9ee1faab0f6398e8d2fe24f972ceee767280b9c72d0535d43813236c3335b52a
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