Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-4k 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-4k 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-4k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 212f261b02607877562640a545961bf9a12b8c38630090c6d06c1feeec714b69
- Size of remote file:
- 12.6 MB
- SHA256:
- 4ca625de3849d28812b298fb5c397801bae942d92072655066be5ff7b219e40a
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