Instructions to use rk68/phi-1_5-finetuned-aqua-rat-teacher-AM-0.5k 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-0.5k 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-0.5k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60a78e1953b87a8c86dc85a093d40ccab7e0b446790a0c2c0300734026b89fd7
- Size of remote file:
- 4.98 kB
- SHA256:
- 73f2fbcb5d7e483c506bc5ee1cc19e60cb319372101fd4e45a200a3a88d9c541
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