INNER CODE UNIT · Python

label_from_example

hooshvare/parsbert · scripts/utils.py:88

    def label_from_example(example: InputExample) -> Union[int, float, None]:
        if example.label is None:
            return None
        if output_mode == "classification":
            return label_map[example.label]
        elif output_mode == "regression":
            return float(example.label)
        raise KeyError(output_mode)

    labels = [label_from_example(example) for example in examples]

    batch_encoding = tokenizer(
        [(example.text_a, example.text_b) for example in examples],
        max_length=max_length,
        padding="max_length",
        truncation=True,
    )

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