Instructions to use Chaew00n/test-supervised-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chaew00n/test-supervised-fine-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "Chaew00n/test-supervised-fine-tuning") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Chaew00n/test-supervised-fine-tuning: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/Chaew00n/test-supervised-fine-tuning/resolve/main/training_args.bin
- Command line
-
hf download hf://Chaew00n/test-supervised-fine-tuning/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Chaew00n/test-supervised-fine-tuning/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 4458b20aebe9d9bd3005c28ffe385b2cff59c65529fd734cf4363b2c1307e129
- Size of remote file:
- 5.91 kB
- SHA256:
- 1f9c131ec82b7036d80ac9ed64508f14e94126d4e636677cdd51924e8f7bcc41
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