Instructions to use cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f 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/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
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https://huggingface.co/cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f/resolve/main/vocab.json
- Command line
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hf download hf://cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f/vocab.json
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curl -L -o vocab.json https://huggingface.co/cimol/e1cbbf9a-6ef4-4a89-8a71-d668dd19bc4f/resolve/main/vocab.json
801 kB
File too large to display, you can check the raw version instead.