Instructions to use dxltt1211/Adapter2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dxltt1211/Adapter2 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/Adapter2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dxltt1211/Adapter2: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/dxltt1211/Adapter2/resolve/main/training_args.bin
- Command line
-
hf download hf://dxltt1211/Adapter2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dxltt1211/Adapter2/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 3ecd7d96092a00c1e5172853c790a3084ca8b4bad79940923f67fa5297d84046
- Size of remote file:
- 5.5 kB
- SHA256:
- 5e7d959c1361f4310751c2cf476efbd40e0f5a93b059f288c0a597143f8a488f
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