AlekseyKorshuk commited on
Commit
77083fe
1 Parent(s): f6f7242

Create handler.py

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  1. handler.py +27 -0
handler.py ADDED
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+ import torch
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+ from typing import Dict, List, Any
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+ from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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+
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+ # get dtype
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+ dtype = torch.float16
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+
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+
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+ class EndpointHandler:
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+ def __init__(self, path=""):
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+ # load the model
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+ tokenizer = AutoTokenizer.from_pretrained(path)
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+ model = AutoModelForCausalLM.from_pretrained(path, device_map="auto",torch_dtype=dtype)
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+ # create inference pipeline
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+ self.pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
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+
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+ def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
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+ inputs = data.pop("inputs", data)
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+ parameters = data.pop("parameters", None)
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+
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+ # pass inputs with all kwargs in data
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+ if parameters is not None:
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+ prediction = self.pipeline(inputs, **parameters)
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+ else:
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+ prediction = self.pipeline(inputs)
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+ # postprocess the prediction
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+ return prediction