langtest.modelhandler.transformers_modelhandler.PretrainedModelForStereoSet#

class PretrainedModelForStereoSet(model)#

Bases: ModelAPI

A class representing a pretrained model for StereoSet detection.

Parameters:

model (transformers.pipeline.Pipeline) – Pretrained HuggingFace pipeline for predictions.

__init__(model)#

Constructor method

Parameters:

model (transformers.pipeline.Pipeline) – Pretrained HuggingFace model for predictions.

Methods

__init__(model)	Constructor method
load_model(path)	Load the Translation model into the model attribute.
predict(text, **kwargs)	Perform predictions on the input text.

Attributes

model_registry

classmethod load_model(path: str) → Pipeline#

Load the Translation model into the model attribute.

Parameters:

path (str) – path to model or model name

Return type:

‘Pipeline’

predict(text: str, **kwargs) → Dict#

Perform predictions on the input text.

Parameters:

• text (str) – Input text to perform mask filling on.

• kwargs – Additional keyword arguments.

Returns:

Output for wino-bias task

Return type:

Dict