The crispy sentence embedding family from Mixedbread . 🍞 Looking for a simple end to end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. 🪆mxbai embed 2d large v1🪆 This is our 2DMSE sentence embedding model. It supports the adaptive transformer layer and embedding size. Find out more in our blog post. TLDR: 2D 🪆 allows you to shrink the model and the embeddings layer. Shrinking only the embeddings model yields competetive results to other models like nomics embeddings model. Shrinking the model to ~50% maintains upto 85% of the performance without further training. Quickstart Here, we provide several ways to produce sentence embeddings with adaptive layers and embedding sizes. For this version, it is recommended to set adaptive layers from 20 to 24. sentence transformers Currently, the best way to use our models is with the most recent version of sentence transformers. angle emb You can also use the lastest angle emb for inference, as follows: Transformers.js If you haven't already, you can install the Transformers.js JavaScript library from NPM using: You can then use the model to compute embeddings as follows: Using API You can us…
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