| 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 | |