Instructions to use dxltt1211/Adapter3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dxltt1211/Adapter3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "dxltt1211/Adapter3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dxltt1211/Adapter3: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/dxltt1211/Adapter3/resolve/main/training_args.bin
- Command line
-
hf download hf://dxltt1211/Adapter3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dxltt1211/Adapter3/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 52b528a1236ae1c7c9e6968e7d1735f0653147dd04df1cac720758f03ba1fd64
- Size of remote file:
- 5.5 kB
- SHA256:
- 03b08abec2607d4efa06a2f51be3c81e907ce09c938114d59c289828c1fc1037
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