Instructions to use dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9: direct link, hf CLI and curl.
- Browser
- Download file 801 kB
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https://huggingface.co/dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9/resolve/main/vocab.json
- Command line
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hf download hf://dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9/vocab.json
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curl -L -o vocab.json https://huggingface.co/dimasik1987/6cdd4d79-fbef-4c7a-b2c9-6a4ae8b777f9/resolve/main/vocab.json
801 kB
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