Instructions to use kk-aivio/f4b215ba-42f1-4e35-9b9e-e2bb8d1f4f7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/f4b215ba-42f1-4e35-9b9e-e2bb8d1f4f7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "kk-aivio/f4b215ba-42f1-4e35-9b9e-e2bb8d1f4f7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f688730735c0c4b3077f85f148d3922cae39cd7105b2b2d353cbb5dd96fe5b
- Size of remote file:
- 50.4 MB
- SHA256:
- f555a5302e8045a6ed35ab1b100c2b206147a37a002742e5cff2d1c7cd4cdfed
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