Instructions to use cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-360M") model = PeftModel.from_pretrained(base_model, "cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168/resolve/main/tokenizer.json
- Command line
-
hf download hf://cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cimol/4cfcb15c-3ca3-42d9-990a-c70b95428168/resolve/main/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.