The multilingual encoder is an embedding use case takes in plain text and returns a 384-dimensional vector encoding of that text. The API truncates incoming text to approximately 256 words before the model encodes it and returns a vector.
Each API request includes one batch containing up to 32 text strings.
The text strings in a batch do not have to be in the same language. You can also use words from multiple languages with each text value. Because long text strings are truncated to approximately 256 words, the order and length of the value affects the return results.
The authentication and authorization access token.
application/json
"application/json"
The unique identifier of the model.
OK
The response is of type object
.