Instructions to use thangla01/f56dff35-6df5-4890-af9c-1476d080b52b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/f56dff35-6df5-4890-af9c-1476d080b52b 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, "thangla01/f56dff35-6df5-4890-af9c-1476d080b52b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from thangla01/f56dff35-6df5-4890-af9c-1476d080b52b: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/thangla01/f56dff35-6df5-4890-af9c-1476d080b52b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://thangla01/f56dff35-6df5-4890-af9c-1476d080b52b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/thangla01/f56dff35-6df5-4890-af9c-1476d080b52b/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 0cf403adbd67becc5c832fd5c7d6c8054ea27e022c7289a882066f5719b8f469
- Size of remote file:
- 83.9 MB
- SHA256:
- f38ad0746173ddc840da20d48ce8732e0e8873ea01bb74d9f0c3b841d120235b
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