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 training_args.bin from StaAhmed/refined_model: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/StaAhmed/refined_model/resolve/main/training_args.bin
- Command line
-
hf download hf://StaAhmed/refined_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/StaAhmed/refined_model/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 918864116ec6ae74427ef6c4906dad6a84da5f4d74f565364509e315a530227d
- Size of remote file:
- 4.41 kB
- SHA256:
- 73a5da6b2de1b71ea130c7b10e4ae4a030f7560e22d8dc0a6f54eb10d102bde0
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