Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-40 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-r-40 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-r-40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 878efb993180668532de2bd99b4cee062bcd564adce6fcbf3838a18fbb9ce6e6
- Size of remote file:
- 4.98 kB
- SHA256:
- a87158db0c15872c9a6344dfee0c12d9a400083656a89622c170088952955673
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