Instructions to use lmong/Adapter3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lmong/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, "lmong/Adapter3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53a905ec9393758116c732e7da75ca39c012606ec00a3dfda434155edceb974a
- Size of remote file:
- 35.7 MB
- SHA256:
- 2c3bd4ded93266fce6ff6d9a6e7d2b29583f75c68c35cff70b9d608820d80289
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