Instructions to use error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94 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, "error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 0c5e71d97d03e847ab72e3f8f89bf689c3409be45c0cf8010c396153df076b25
- Size of remote file:
- 336 MB
- SHA256:
- c67cae282102e41d6c6d130c5d3be3280c5ca9014a3650a9a2371420f7897bcc
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