orkgnlp.nli.templates.encoder.TemplatesRecommenderEncoder

class TemplatesRecommenderEncoder(templates)

Bases: ORKGNLPBaseEncoder

The TemplatesRecommenderEncoder encodes the given input to the arguments needed to execute a BertForSequenceClassification model.

Parameters:

templates (List[Dict[str, str]]) – templates used for training the service models as premises.

Methods

encode	Encodes the raw_input to a model-friendly format.
release_memory	Releases the memory of all available attributes in a pipeline component.

encode(raw_input, **kwargs)

Encodes the raw_input to a model-friendly format.

Parameters:

raw_input (Any) – The user’s input to be encoded.

Return type:

Tuple[Any, Dict[str, Any]]

Returns:

The model-friendly output and kwargs.

release_memory()

Releases the memory of all available attributes in a pipeline component.