Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d79c67603f706c47e4e0d017a240239db3fb2f1f58cc6d8b368a2fa268320d1
- Size of remote file:
- 31.5 MB
- SHA256:
- f5316db8e6a54509a154a892b8fda906f893c3d7c056f2d3a89eae9659e2fa6a
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