Instructions to use prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada 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, "prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/prxy5604/1d0b0ed5-2d83-4cdf-8ecd-1e342748bada/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- dd1b7b0afddc8c828ab3508b2dc9a231f40f774462a07d6b585cf8053b3a782b
- Size of remote file:
- 14.2 kB
- SHA256:
- f80e0a2076ed110d0105b3f4952dbda6f1779b2a332ba19758e8b0b12fe69ae6
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