• Original Model Card
• feature-extraction Task on Hugging Face

Send Request

curl <AZUREML_ENDPOINT_URL> \
    -X POST \
    -H "Authorization: Bearer <AZUREML_TOKEN>" \
    -H "Content-Type: application/json" \
    -d '{"inputs":"Today is a sunny day and I will get some ice cream."}'

Supported Parameters

• inputs (string or string[]): Either the text to create the embeddings for, or a list of texts.
• normalize (boolean): Whether to normalize the embedding to be generated or not.
• prompt_name (string): The name of the prompt that should be used by for encoding. If not set, no prompt will be applied. Must be a key in the sentence-transformers configuration prompts dictionary. For example if prompt_name is "query" and the prompts is {"query": "query: ", …}, then the sentence "What is the capital of France?" will be encoded as "query: What is the capital of France?" because the prompt text will be prepended before any text to encode.
• truncate (boolean): Whether to truncate the input to match the max allowed input tokens or not.
• truncation_direction (enum): Possible values: Left, Right.