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 tokenizer.json from Chaew00n/test-supervised-fine-tuning: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Chaew00n/test-supervised-fine-tuning/resolve/main/tokenizer.json
- Command line
-
hf download hf://Chaew00n/test-supervised-fine-tuning/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Chaew00n/test-supervised-fine-tuning/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 54c5957ff6fc3fa753108339d0e8cba3cf3726ff8e277e1c5e43cc869452426b
- Size of remote file:
- 11.4 MB
- SHA256:
- 3693e8d4feea9af769307430ebff24aa6c1e2b57f8199cb932a7887af67bba3c
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