from typing import Dict, List, Any
from transformers import AutoModel, pipeline

class EndpointHandler:
    def __init__(self, path=""):
        # load the model
        model = AutoModel.from_pretrained(path, low_cpu_mem_usage=True)
        # create inference pipeline
        # Do I have to check device?
        self.pipeline = pipeline("text-generation", model=model)

    # (Might have to adjust typing)
    def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
        inputs = data.pop("inputs", data)  # Should I get and pass parameters?
        prediction = self.pipeline(inputs)
        return prediction