Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-alpha-8 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-alpha-8 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-alpha-8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca73dee2a6fb4b188cb80d21de6bd6b7fe2ba4798143aaae10d3a00278b5eeb9
- Size of remote file:
- 12.6 MB
- SHA256:
- 74bbc82e69293ade73b0fdabdf31799a0606c8b947ff7826ef484c92bc016ea0
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