This model has 12 layers and the embedding size is 768. Usage. Below is an example to encode ...

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The Multilingual-E5-large model is a 24-layer text embedding model with an embedding size of 1024, trained on a mixture of multilingual datasets and supporting ...

30 янв. 2024 г. · A machine learning model for embedding text in multiple languages, which allows for the accurate calculation of text similarity across different languages.

deepset/triton-embedding:intfloat-multilingual-e5-base-o4-v1.0.0 ... Layer details are not available for this image.

The Multilingual-E5-base model is a powerful tool for natural language processing tasks. This model is designed to handle multiple languages.

22 июл. 2024 г. · Hi, I'm trying to use the intfloat/multilingual-e5-base model but it can't load and the logs show me the following error.

deepset/triton-embedding:intfloat-multilingual-e5-base-v1.0.0 ; OS/ARCH. linux/amd64 ; Compressed Size. 8.95 GB ; Last pushed. 2 months ago by tstadelds ; Type.

28 мая 2024 г. · The multilingual-e5-base is a text embedding model developed by researcher intfloat. It is a 12-layer model with an embedding size of 768, ...

Specifications# · Dimensions: 1024 · Max Tokens: 514 · Model ID: intfloat/multilingual-e5-large · Model Hubs: Hugging Face, ModelScope.