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:
- a6d63defbe791e25e528858d20e673979d27c47e959c0f25f86dcb48f818c8e7
- Size of remote file:
- 12.6 MB
- SHA256:
- fe5bf34ca6e8f1e2087db0e1743cb48c62a03ea94517e5913bffff46e68dd5a6
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