Instructions to use cragtmp/tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/tool 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, "cragtmp/tool") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from cragtmp/tool: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/cragtmp/tool/resolve/main/rng_state.pth
- Command line
-
hf download hf://cragtmp/tool/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/cragtmp/tool/resolve/main/rng_state.pth
14.2 kB
- Xet hash:
- c76e60f328d96a56b070a02ddf8a8bebf891f1494325f5b752f498ee26601afe
- Size of remote file:
- 14.2 kB
- SHA256:
- 8461ddd32da054cbfff1b3847463f707711be9b091b73504a0fe430f0d51b30b
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