Instructions to use nhung03/922f138a-b3e6-4a86-8494-91120aa3d847 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/922f138a-b3e6-4a86-8494-91120aa3d847 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, "nhung03/922f138a-b3e6-4a86-8494-91120aa3d847") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhung03/922f138a-b3e6-4a86-8494-91120aa3d847: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhung03/922f138a-b3e6-4a86-8494-91120aa3d847/resolve/main/training_args.bin
- Command line
-
hf download hf://nhung03/922f138a-b3e6-4a86-8494-91120aa3d847/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhung03/922f138a-b3e6-4a86-8494-91120aa3d847/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 6eb1ce693f040a6cac812f778499882c6417d52817ffd921c44bc9af460585ce
- Size of remote file:
- 6.78 kB
- SHA256:
- db4a05f76c7821524e7a5309e27b6af5ce7b5cf7fd5d2f57ed48f93df2cc6127
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