renede commited on
Commit
ef5688c
1 Parent(s): a1fa74d

Create handler.py

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  1. handler.py +37 -0
handler.py ADDED
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+ from typing import Any, Dict, List
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+
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+ import torch
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+ import transformers
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ dtype = torch.bfloat16 if torch.cuda.get_device_capability()[0] == 8 else 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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+ tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ path,
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+ return_dict=True,
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+ device_map="auto",
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+ load_in_8bit=True,
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+ torch_dtype=dtype,
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+ trust_remote_code=True,
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+ )
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+
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+ generation_config = model.generation_config
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+ generation_config.max_new_tokens = 60
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+ generation_config.temperature = 0
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+ generation_config.num_return_sequences = 1
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+ generation_config.pad_token_id = tokenizer.eos_token_id
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+ generation_config.eos_token_id = tokenizer.eos_token_id
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+ self.generation_config = generation_config
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+
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+ self.pipeline = transformers.pipeline(
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+ "text-generation", model=model, tokenizer=tokenizer
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+ )
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+
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+ def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
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+ prompt = data.pop("inputs", data)
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+ result = self.pipeline(prompt, generation_config=self.generation_config)
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+ return result