Instructions to use nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B") model = PeftModel.from_pretrained(base_model, "nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/nhung03/e52cb3d4-b4a7-4abe-8c73-7d2c60c528bb/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 0776ad130487b31aee601a211cacb6862831555189ce640e9825ced697359150
- Size of remote file:
- 83.9 MB
- SHA256:
- c1f482f32bced5b766eb5a50ce55a4aa8b9b854008c287e2b939ef66df308d21
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.