Operator: nlp-longformer

Author: Kyle He, Jael Gu

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:

• txt:
  • input text in words, sentences, or paragraphs
  • supported types: str

Returns:

The Operator returns a tuple Tuple[('feature_vector', numpy.ndarray)] containing following fields:

• feature_vector:
  • the embedding of the text
  • data type: numpy.ndarray
  • shape: (x, dim) where x is number of vectors and dim is dimension of vector depending on model_name

Requirements

How it works

Reference