README.md

metadata

title: WeatherFlow Training
emoji: 🌀
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit

WeatherFlow Training

Train flow matching models to predict wind fields from hurricane brightness temperature images.

Features

• Train Models: Upload hurricane image pairs from Google Drive and train flow matching models
• Run Inference: Use trained models to predict wind fields from new hurricane images
• Save to Hub: Automatically save trained models to Hugging Face Hub

How to Use

Training

1. Prepare hurricane image pairs where left half = brightness temperature, right half = wind field
2. Upload images to a Google Drive folder and make it publicly accessible
3. Paste the Google Drive folder URL
4. Configure model parameters and click "Start Training"
5. The trained model will be saved to your Hugging Face Hub

Inference

1. Enter the HF Hub repository ID of your trained model
2. Upload a hurricane brightness temperature image
3. Click "Run Inference" to generate the predicted wind field