Instructions to use VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/VERSIL91/21ae5a50-9aa6-41f2-a506-b86fb0cd35ce/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 6f8c36bad2fda87700fc32bc4c99d9506175ecc0b39b7fe346e0d9ac82ce41b5
- Size of remote file:
- 83.9 MB
- SHA256:
- 27b8f5eed8e8f0846720db96fe0c0f287903e249ef0be898b1d895a3c126b3f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.