{"type":"rich","version":"1.0","title":"utxo the webmaster 🧑‍💻🍁 wrote","author_name":"utxo the webmaster 🧑‍💻🍁 (npub1ut…r50e8)","author_url":"https://yabu.me/npub1utx00neqgqln72j22kej3ux7803c2k986henvvha4thuwfkper4s7r50e8","provider_name":"njump","provider_url":"https://yabu.me","html":"nspam - a lightweight model to fight spam\n\nI 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)\n\nWill 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\n\nModel\nhttps://huggingface.co/barrydeen/nspam\n\nDataset\nhttps://huggingface.co/datasets/barrydeen/nspam-corpus"}