Instructions to use windgrin/ans1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/ans1 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/ans1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efc7e97c088d8626b196803260c4ac41b86f124b87c662c84defcbd7c4f5e774
- Size of remote file:
- 839 MB
- SHA256:
- 06b48fff4b55d3ea9c51ddcd2e4b7f79400b68f59394d58920bd00f508ce99ea
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