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BAAI/bge-base-en-v1.5

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned

Public
$0.005/Mtoken
ProjectPaperLicense

HTTP/cURL API

 

Input fields

inputsarray

sequences to embed

Default value:


normalizeboolean

whether to normalize the computed embeddings

Default value: false


imagestring

image to embed


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema


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