Instructions to use grounded-ai/phi3-hallucination-judge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use grounded-ai/phi3-hallucination-judge with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "grounded-ai/phi3-hallucination-judge") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75baa697840ed85212b4ae3dd9285cf1aba88252dc1b08eb7b4170a2b93d0503
- Size of remote file:
- 35.7 MB
- SHA256:
- 0fb685a65d3df588c37892a215750889d0682fea2a498759b2735a3ae33949ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.