pipelines.py

from transformers import (
    AutoModelForTokenClassification,
    AutoTokenizer,
    TokenClassificationPipeline,
)
from transformers.pipelines import AggregationStrategy
import numpy as np


class KeyphraseExtractionPipeline(TokenClassificationPipeline):
    def __init__(self, model, *args, **kwargs):
        super().__init__(
            model=AutoModelForTokenClassification.from_pretrained(model),
            tokenizer=AutoTokenizer.from_pretrained(model),
            *args,
            **kwargs
        )

    def postprocess(self, model_outputs):
        results = super().postprocess(
            model_outputs=model_outputs,
            aggregation_strategy=AggregationStrategy.SIMPLE
            if self.model.config.model_type == "roberta"
            else AggregationStrategy.FIRST,
        )
        return np.unique([result.get("word").strip() for result in results])