26 lines
729 B
Python
26 lines
729 B
Python
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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import torch
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class EndpointHandler:
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def __init__(self, path=""):
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self.tokenizer = AutoTokenizer.from_pretrained(
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path,
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use_fast=True,
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tokenizer_class=None
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)
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self.model = AutoModelForCausalLM.from_pretrained(
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path,
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torch_dtype=torch.float16,
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device_map="auto"
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)
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self.pipe = pipeline(
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"text-generation",
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model=self.model,
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tokenizer=self.tokenizer
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)
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def __call__(self, data):
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inputs = data.pop("inputs", data)
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result = self.pipe(inputs, max_new_tokens=512)
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return result
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