Instructions to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/sn56/418e3bcf-6ed5-43d8-9d76-9d07ce4ac2bb/resolve/main/adapter_model.safetensors
141 MB
- Xet hash:
- ed0591f990d0b7026bf5f86d126c2ed0bd54d009aa0e1390022adcf64ea2d25a
- Size of remote file:
- 141 MB
- SHA256:
- a06cff2f4a80f00b2cc5daef840da0bd945faebb41977ec202ae58a6ade3995f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.