mixedbread-ai
/

deepset-mxbai-embed-de-large-v1

Feature Extraction

sentence-transformers

Transformers.js

sentence_embedding

feature_extraction

text-embeddings-inference

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juliuslipp commited on Mar 13

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-### 🍞 We're offering an end-to-end retrieval solution powered by Omni, our state-of-the-art multimodal & multilingual model. Get started with RAG, agent use cases and more — [contact us today for access](https://www.mixedbread.com/).
 # mixedbread-ai/deepset-mxbai-embed-de-large-v1
 This model is a powerful open-source German/English embedding model developed by [Mixedbread](https://mixedbread.ai) in collaboration with [deepset](https://deepset.ai). It's built upon [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) and trained using the [AnglE loss](https://arxiv.org/abs/2309.12871). Read more details in our [blog post](https://www.mixedbread.ai/blog/deepset-mxbai-embed-de-large-v1).

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+<sup> 🍞Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual solution. <a href="https://mixedbread.com"><b>Get in touch for access.</a> </sup>
+</p>
 # mixedbread-ai/deepset-mxbai-embed-de-large-v1
 This model is a powerful open-source German/English embedding model developed by [Mixedbread](https://mixedbread.ai) in collaboration with [deepset](https://deepset.ai). It's built upon [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) and trained using the [AnglE loss](https://arxiv.org/abs/2309.12871). Read more details in our [blog post](https://www.mixedbread.ai/blog/deepset-mxbai-embed-de-large-v1).