In the Named Entity Recognition (NER) use case, the LLM ingests text and entities to extract and return a JSON response that contains a list of entities extracted from the text. No options can be configured.
This use case can be used to extract nouns and proper nouns such as Brand, Date, Company, Places, and Category in order to guide and refine searches.
Bearer token used for authentication. Format: Authorization: Bearer ACCESS_TOKEN.
application/json
"application/json"
Unique identifier for the model.
The batch of key:value pairs used as inputs in the prediction. Up to 32 inputs per request are allowed.
32Provides fields and values that specify ranges for tokens. Fields used for specific use cases and models are specified. The default values are used if other values are not specified.
OK