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
Download rng_state.pth from windgrin/ans1: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/windgrin/ans1/resolve/main/rng_state.pth
- Command line
-
hf download hf://windgrin/ans1/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/windgrin/ans1/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- ff0cab20e762aef73a2c7b5768f867027359d45e66dd74eda28b14d06eb1535c
- Size of remote file:
- 14.2 kB
- SHA256:
- a41ec4e2eab3b79e840c0cddd49aabb5b1532a8201f5b8eb6ff9b2851845ebab
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