Instructions to use abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d 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, "abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
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https://huggingface.co/abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d/resolve/2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/merges.txt
- Command line
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hf download hf://abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d@2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/merges.txt
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curl -L -o merges.txt https://huggingface.co/abaddon182/6a2dfe2e-2f7a-4197-bbe4-e7c8541ccf6d/resolve/2ae0827ee08c15bb8f5e9d12173ff9994765ca2c/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.