Instructions to use cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7/resolve/main/vocab.json
- Command line
-
hf download hf://cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7/vocab.json
-
curl -L -o vocab.json https://huggingface.co/cilooor/08d69553-cdcd-450a-bad2-a81b3c3c8fe7/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.