Instructions to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilooor/1c889fdf-2371-4402-86dc-73619ad226c6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "cilooor/1c889fdf-2371-4402-86dc-73619ad226c6") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cilooor/1c889fdf-2371-4402-86dc-73619ad226c6: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
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https://huggingface.co/cilooor/1c889fdf-2371-4402-86dc-73619ad226c6/resolve/a334f1d26aaa03fba23d0e8f52ced9bab34ee372/tokenizer.json
- Command line
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hf download hf://cilooor/1c889fdf-2371-4402-86dc-73619ad226c6@a334f1d26aaa03fba23d0e8f52ced9bab34ee372/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cilooor/1c889fdf-2371-4402-86dc-73619ad226c6/resolve/a334f1d26aaa03fba23d0e8f52ced9bab34ee372/tokenizer.json
3.52 MB
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