utils_nlp/models/bert/common.py [278:306]:
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        if not _is_iterable_but_not_string(text):
            # The input text must be an non-string Iterable
            raise ValueError("Input text must be an iterable and not a string.")
        else:
            # If the input text is a single list of words, convert it to
            # list of lists for later iteration
            if not _is_iterable_but_not_string(text[0]):
                text = [text]
        if labels is not None:
            if not _is_iterable_but_not_string(labels):
                raise ValueError("labels must be an iterable and not a string.")
            else:
                if not _is_iterable_but_not_string(labels[0]):
                    labels = [labels]

        label_available = True
        if labels is None:
            label_available = False
            # create an artificial label list for creating trailing token mask
            labels = [["O"] * len(t) for t in text]

        input_ids_all = []
        input_mask_all = []
        label_ids_all = []
        trailing_token_mask_all = []
        for t, t_labels in zip(text, labels):

            if len(t) != len(t_labels):
                raise ValueError(
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utils_nlp/models/transformers/named_entity_recognition.py [181:210]:
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        if not _is_iterable_but_not_string(text):
            # The input text must be an non-string Iterable
            raise ValueError("Input text must be an iterable and not a string.")
        else:
            # If the input text is a single list of words, convert it to
            # list of lists for later iteration
            if not _is_iterable_but_not_string(text[0]):
                text = [text]

        if labels is not None:
            if not _is_iterable_but_not_string(labels):
                raise ValueError("labels must be an iterable and not a string.")
            else:
                if not _is_iterable_but_not_string(labels[0]):
                    labels = [labels]

        label_available = True
        if labels is None:
            label_available = False
            # create an artificial label list for creating trailing token mask
            labels = [["O"] * len(t) for t in text]

        input_ids_all = []
        input_mask_all = []
        label_ids_all = []
        trailing_token_mask_all = []

        for t, t_labels in zip(text, labels):
            if len(t) != len(t_labels):
                raise ValueError(
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