Multilingual E5 Large
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Hugging Face
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Hugging Face
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Small context
514
License
license:mit
Updated
11/3/2025
by
intfloat
Multilingual E5 Large is a model designed for sentence similarity and feature extraction tasks. It is part of the MTEB benchmark, specifically for the Amazon Counterfactual Classification dataset in English. The model has been evaluated on the test split with a revision identifier e8379541af4e31359cca9fbcf4b00f2671dba205. The performance metrics include an accuracy of 79.06%, an average precision of 43.49%, and an F1 score of 73.33%.
Embedding Model
OTHER
Quick Info
Released
6/30/2023Framework
OTHER