# Operator: nlp-longformer

Author:

## Overview



## Interface

```python
__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'

```python
__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