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 adapter_model.safetensors from abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/abaddon182/b2e8e170-9aed-4112-bd28-3241f0b9678b/resolve/main/adapter_model.safetensors
141 MB
- Xet hash:
- 3c4ab4cf523bfb3cbcbe2c1fbe2fc58ac13888ee598f38455b7bc788fa397821
- Size of remote file:
- 141 MB
- SHA256:
- ffb8f8eaaaad0eee8b1a1298d982ff1ce63993dab08fa7931777d4a0c520ddc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.