Instructions to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 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, "adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5: direct link, hf CLI and curl.
- Browser
- Download file 43.1 MB
-
https://huggingface.co/adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/resolve/main/last-checkpoint/optimizer.pt
43.1 MB
- Xet hash:
- e15f5477839def23636f946f655a2d23d84436a906a53664a291f19fc5f9ad42
- Size of remote file:
- 43.1 MB
- SHA256:
- 4cfc86e157a779abdea7fc6ebca3c6312de1b64f5d99d48231a3f08b853d88cf
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