Instructions to use savage1221/aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use savage1221/aa 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, "savage1221/aa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62cf878ea334212c8d8570569405d1933c255587a9b9e83c9708562367bba0e9
- Size of remote file:
- 1.06 kB
- SHA256:
- 9afd5641463a2a814abc2e35375822e6f0856631fc1b4b125c6439db0a27c6ec
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