Instructions to use StaAhmed/refined_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use StaAhmed/refined_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "StaAhmed/refined_model") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from StaAhmed/refined_model: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/StaAhmed/refined_model/resolve/main/optimizer.pt
- Command line
-
hf download hf://StaAhmed/refined_model/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/StaAhmed/refined_model/resolve/main/optimizer.pt
33.6 MB
- Xet hash:
- b76be2ca3ae85a6903b3c886ff8de1416fdd21f8f19706095a1df536286bfe22
- Size of remote file:
- 33.6 MB
- SHA256:
- 9ab56012ddf69ad9a2fe04e8742ff505350d8d5b01be6619adf6ca5886add5a2
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