import fasttext.util | |
class PreTrainedPipeline(): | |
def __init__(self, path=""): | |
""" | |
Initialize model | |
""" | |
self.model = fasttext.load_model(os.path.join(path, 'cc.en.300.bin')) | |
def __call__(self, inputs: str) -> List[float]: | |
""" | |
Args: | |
inputs (:obj:`str`): | |
a string to get the features of. | |
Return: | |
A :obj:`list` of floats: The features computed by the model. | |
""" | |
return self.model.get_sentence_vector(inputs) | |