Instructions to use nhung03/bd08913d-aff9-4e52-9536-39d293fd521b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/bd08913d-aff9-4e52-9536-39d293fd521b 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, "nhung03/bd08913d-aff9-4e52-9536-39d293fd521b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nhung03/bd08913d-aff9-4e52-9536-39d293fd521b: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/nhung03/bd08913d-aff9-4e52-9536-39d293fd521b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nhung03/bd08913d-aff9-4e52-9536-39d293fd521b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nhung03/bd08913d-aff9-4e52-9536-39d293fd521b/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 850657b643dc8f133f5e22996a95f7bd6c9a642261d1e5b1be534ca57b16b69b
- Size of remote file:
- 84 MB
- SHA256:
- 3ce685d191fa4548518d24a4afae96ea6ebf8c2db8d50fe308db068fa7c0ee2c
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