Instructions to use bane5631/a649fb20-63c4-4576-88b2-d4c959b78475 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/a649fb20-63c4-4576-88b2-d4c959b78475 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "bane5631/a649fb20-63c4-4576-88b2-d4c959b78475") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bane5631/a649fb20-63c4-4576-88b2-d4c959b78475: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/bane5631/a649fb20-63c4-4576-88b2-d4c959b78475/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bane5631/a649fb20-63c4-4576-88b2-d4c959b78475/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bane5631/a649fb20-63c4-4576-88b2-d4c959b78475/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- bb34f48c5ea3fd1db9ccb7471d8cc2f1dd1f20cc5ae3c96eeee900420dcaff02
- Size of remote file:
- 671 MB
- SHA256:
- 42559778290b78ddc0f2679f0a42f4ff16a0d6b2f132762e6bfb9f0af82f9046
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