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:
- 22db049805a460649ae97c957f24781f7898ffac029725e937cdd57e04dd5c1b
- Size of remote file:
- 4.98 kB
- SHA256:
- cff698b8c819b754e1471dda9c0d3066573eb2d4b0687d8a1f41507a9019e594
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