Instructions to use rk68/phi-1_5-finetuned-aqua-rat-teacher-AM-0.5k 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-teacher-AM-0.5k 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-teacher-AM-0.5k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8390b5f11e1208e5f26c25c51cf1045d4aa3e534c71dcde8db48cec85fe4112
- Size of remote file:
- 12.6 MB
- SHA256:
- 6d07e4d4e879304632002cc1aa35bca2f0b1cf33c19f894af2529df5b2742304
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