Instructions to use dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/resolve/main/vocab.json
- Command line
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hf download hf://dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/vocab.json
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curl -L -o vocab.json https://huggingface.co/dada22231/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/resolve/main/vocab.json
2.78 MB
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