Instructions to use abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/resolve/main/vocab.json
- Command line
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hf download hf://abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/vocab.json
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curl -L -o vocab.json https://huggingface.co/abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.