Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32 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-32 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-32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31615c2d991c5bf1603f0417da7ec09e110c88bbf85fd637e925d1e20157c68e
- Size of remote file:
- 25.2 MB
- SHA256:
- 400df93e76cc5f68069f208ad8dea4444421ce9963d101db1f8c32e10fe8567f
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