Instructions to use cragtmp/ans3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/ans3 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/ans3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cragtmp/ans3: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/cragtmp/ans3/resolve/main/training_args.bin
- Command line
-
hf download hf://cragtmp/ans3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cragtmp/ans3/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 7f63ff85cc1dc1f33f991236008a1961bfec7d607a24f9d0929d011cea656e2e
- Size of remote file:
- 5.62 kB
- SHA256:
- 460313541adee8c6da180d4a8af7eaa8959814e1d7fe881ef6c01e0e06113227
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