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704 B

Operator: nlp-longformer

Author:

Overview

Interface

__init__(self, model_name: str, framework: str = 'pytorch')

Args:

  • model_name:
    • the model name for embedding
    • supported types: str, for example 'xxx' or 'xxx'
  • framework:
    • the framework of the model
    • supported types: str, default is 'pytorch'
__call__(self, call_arg_1: xxx)

Args:

  • call_arg_1:
    • xxx(description about call_arg_1)
    • supported types: xxx Returns:

The Operator returns a tuple Tuple[('results_1', xxx)] containing following fields:

  • results_1:
    • xxx(description of results_1)
    • data type: xxx
    • shape: (xxx,)

Requirements

How it works

Reference

704 B

Operator: nlp-longformer

Author:

Overview

Interface

__init__(self, model_name: str, framework: str = 'pytorch')

Args:

  • model_name:
    • the model name for embedding
    • supported types: str, for example 'xxx' or 'xxx'
  • framework:
    • the framework of the model
    • supported types: str, default is 'pytorch'
__call__(self, call_arg_1: xxx)

Args:

  • call_arg_1:
    • xxx(description about call_arg_1)
    • supported types: xxx Returns:

The Operator returns a tuple Tuple[('results_1', xxx)] containing following fields:

  • results_1:
    • xxx(description of results_1)
    • data type: xxx
    • shape: (xxx,)

Requirements

How it works

Reference