Instructions to use rk68/phi-1_5-finetuned-aqua-rat-AM-3k 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-3k 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-3k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319091d8553a7b72995c440fe5a12aa99375453637275d62548dac32bbc3433f
- Size of remote file:
- 12.6 MB
- SHA256:
- a430930370b8b60d65dfb6ed58c8f9c2fef1874eef3b7447f39010f8393b161b
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