Instructions to use cragtmp/2gt4-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/2gt4-150 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/2gt4-150") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cragtmp/2gt4-150: direct link, hf CLI and curl.
- Browser
- Download file 8.7 kB
-
https://huggingface.co/cragtmp/2gt4-150/resolve/main/training_args.bin
- Command line
-
hf download hf://cragtmp/2gt4-150/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cragtmp/2gt4-150/resolve/main/training_args.bin
8.7 kB
- Xet hash:
- b41e3e9333846369cd1b2dfaf6dcb86b1fa8848219c46633f435da8964d86680
- Size of remote file:
- 8.7 kB
- SHA256:
- 30a677136073f487609898cc6113311ce9918fac33f99d44c163da40fe6035b2
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