Instructions to use rk68/phi-1_5-finetuned-aqua-rat-teacher-AM-1k 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-teacher-AM-1k 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-teacher-AM-1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72eab44d16b1285bc7e4027ae07794b2901272cf66109b9713690606b928c9ba
- Size of remote file:
- 4.98 kB
- SHA256:
- 00dcbdd7f28725fc2c910d6a45083393bb938e53f27ef4661e6337c01aec5acf
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