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sentence-transformers/

all-mpnet-base-v2

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various NLP tasks such as clustering, sentiment analysis, and question answering.

Public
$0.005 / Mtoken
512
sentence-transformers/all-mpnet-base-v2 cover image

Input

inputs
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Settings

The service tier used for processing the request. When set to 'priority', the request will be processed with higher priority. 3

whether to normalize the computed embeddings 2

The number of dimensions in the embedding. If not provided, the model's default will be used.If provided bigger than model's default, the embedding will be padded with zeros. (Default: empty, 32 ≤ dimensions ≤ 8192)

Output

[
  [
    0,
    0.5,
    1
  ],
  [
    1,
    0.5,
    0
  ]
]
Model Information

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