Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-teacher-2k-r-32 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-32 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-32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccbf206f551940c3daf0263d6a16c0ffe7d01e6cb6caca398833876b161d333f
- Size of remote file:
- 4.98 kB
- SHA256:
- e5507ae5f8e932b6dcee583af801a558f4961058c90961cafe97bfeb149cb51e
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