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from typing import Any, Dict
from transformers import AutoTokenizer, AutoModel
import torch
class EndpointHandler:
def __init__(self, model_dir: str, **kwargs: Any) -> None:
self.model = AutoModel.from_pretrained(
model_dir,
torch_dtype=torch.bfloat16,
low_cpu_mem_usage=True,
use_flash_attn=False,
trust_remote_code=True,
device_map="auto",
).eval()
self.tokenizer = AutoTokenizer.from_pretrained(
model_dir, trust_remote_code=True, use_fast=False
)
def __call__(self, data: Dict[str, Any]) -> Any:
logger.info(f"Received incoming request with {data=}")
if __name__ == "__main__":
handler = EndpointHandler(model_dir="GSAI-ML/LLaDA-8B-Instruct")
print(handler)
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