rich1.0utxo the webmaster 🧑‍💻🍁 (npub1ut…r50e8)https://yabu.me/npub1utx00neqgqln72j22kej3ux7803c2k986henvvha4thuwfkper4s7r50e8njumphttps://yabu.menspam - a lightweight model to fight spam I trained a model from scratch to classify spam on nostr, early indication shows it catches 97% of spam with just a 1mb weight file and can do inference sub 100ms on a pixel 7 with kotlin. (Should work in any language) Will be shipping in #wisp this week, feel free to try it yourself if you're building a client. I recommend only using it when rendering replies from non followed pubkeys Model https://huggingface.co/barrydeen/nspam Dataset https://huggingface.co/datasets/barrydeen/nspam-corpus