Multilingual E5 base (sentence transformers) This is a the sentence transformers version of the intfloat/multilingual e5 base model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence Transformers) Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: Usage (Huggingface) Using with API You can use the embaas API to encode your input. Get your free API key from embaas.io Evaluation Results You can find the MTEB results here. Full Model Architecture Citing & Authors
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