ssourav15/vaibesync-user-matching-model

VaibeSync User Matching Model

This model powers the VaibeSync dating app's intelligent user matching system.

Model Details

• Framework: PyTorch Lightning
• Task: User compatibility prediction
• Architecture: Two-tower neural network
• Size: 0.4 MB

Usage

This model is automatically downloaded and used by the VaibeSync ML API deployed on Railway.

from models.user_match_two_tower import UserMatchingModel

model = UserMatchingModel.load_from_checkpoint("last.ckpt")
model.eval()

Railway Deployment

Set these environment variables in your Railway deployment:

MODEL_STORAGE_TYPE=huggingface
HF_MODEL_REPO=ssourav15/vaibesync-user-matching-model

The model will be automatically downloaded on first startup.