Instructions to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/last-checkpoint/optimizer.pt
103 MB
- Xet hash:
- 484c82a6536d753c6e04af306b64b2a99b84d7a3e0cb5353aa21862f21cd4852
- Size of remote file:
- 103 MB
- SHA256:
- ebd25e1676c242379582018c9881326b19587354c58c0cea9fd4b2b2bf2fddec
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