Instructions to use cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B") model = PeftModel.from_pretrained(base_model, "cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004/resolve/main/vocab.json
- Command line
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hf download hf://cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004/vocab.json
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curl -L -o vocab.json https://huggingface.co/cimol/c07dcbe6-6d86-423a-9d2b-785b5b56c004/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.