This repository contains the model weights for WindFM-Tokenizer-robust.
Regarding how to use this model, please refer to this GitHub repository.
The model supports prediction when some covariates are missing. When a covariate is missing, set all values of that variable to 0.
Have the files? Submit a torrent.
Submit a torrentHave the complete files and permission to share them? Replace the example folder path. The script checks the files, makes a torrent and submits its magnet and checksums. Keep your torrent client seeding. Get your community key from your settings, and read the script before running it.
curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo NeoQuasar/WindFM-Tokenizer-robust ./model-folder