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.bin 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.bin
- Command line
-
hf download hf://error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/error577/72ba7d0b-8cfb-470a-8851-e5aa0c797b94/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- fb47d0f09e0350319dbc099ffa51326b7aeb895b27ba866c981adb0369f29d7e
- Size of remote file:
- 336 MB
- SHA256:
- b817fa5aee9d56530f852bf570ee076e22083ee98a7f5784ef4ceb557105a5aa
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