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New model: potion-multilingual-128M, a state-of-the-art static multilingual embedder! 🔥 It supports 101 languages and reaches 90.8% of the performance of LaBSE. Model on HuggingFace: huggingface.co/minishlab/poti… Results: github.com/MinishLab/mode…

📢 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁 #𝘦𝘮𝘣𝘦𝘥𝘢𝘯𝘺𝘵𝘩𝘪𝘯𝘨🦀𝘷.0.6 𝘪𝘴 𝘰𝘶𝘵, 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘭𝘢𝘵𝘦𝘴𝘵 𝘮𝘰𝘥𝘦𝘭𝘴 cohere's 𝘦𝘮𝘣𝘦𝘥4, 𝘢𝘯𝘥 𝘮𝘰𝘥𝘦𝘭2𝘷𝘦𝘤 𝘣𝘺 Minish , 𝘢 𝘯𝘦𝘸 𝘤𝘩𝘶𝘯𝘬𝘪𝘯𝘨 𝘮𝘦𝘵𝘩𝘰𝘥, 𝘓𝘢𝘵𝘦-𝘤𝘩𝘶𝘯𝘬𝘪𝘯𝘨 𝘣𝘺 @Weaviate. RAG,

Do not sleep on deduplication! Use this FREE app for semantic deduplication of multiple massive datasets. This is how it works: - You pick one all more datasets from the Hub - It make a semantic embedding of each row - It remove removes near duplicates based on a threshold like

The deduplication Space by Minish just got a fresh update, allowing you to remove near duplicates in (training) datasets. Details in 🧵

Some guy forked our "model2vec-rs" crate, and put it under the "model2vec" name on crates io and then didn't tell us about it. See here: crates.io/crates/model2v… Like what's the goal here except name squatting.

We have a new website (and name): minish.ai We’ve been working on an improved website for a while, and it’s finally here. It has documentation for all our packages as well as our blog. More things coming soon! 🚀

semhash is so so so convenient and fast