ammarnasr/codegen2-1B-security

1from typing import Any, Dict, List2import torch3import transformers4from transformers import AutoModelForCausalLM, AutoTokenizer5 6dtype = torch.bfloat16 if torch.cuda.get_device_capability()[0] ==8 else torch.float167 8class EndpointHandler:9    def __init__(self, path=""):10        self.tokenizer = AutoTokenizer.from_pretrained(path)11        self.model = AutoModelForCausalLM.from_pretrained(path, trust_remote_code=True, revision="main")12        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")13        self.model = self.model.to(self.device)14 15 16    def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:17        prompt = data["inputs"]18        if "config" in data:19          config = data.pop("config", None)20        else:21          config = {'max_new_tokens':100}22        input_ids = self.tokenizer(prompt, return_tensors="pt").input_ids.to(self.device)23        generated_ids = self.model.generate(input_ids, **config)24        generated_text = self.tokenizer.decode(generated_ids[0], skip_special_tokens=True)25        return [{"generated_text": generated_text}]26        27            28        29