metadata
title: VaibeSync User Matching Model
emoji: 💕
colorFrom: pink
colorTo: purple
sdk: pytorch
tags:
- dating
- user-matching
- recommendation-system
- pytorch-lightning
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: 1.5 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.