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from pydantic import BaseSettings
class Settings(BaseSettings):
model_map: Dict[int, str] = {
61: "donut-v16",
81: "donut-v16",
139: "donut-v16",
165: "donut-v17",
145: "donut-v17",
127: "donut-v17",
}
space_base: str = "senga-ml"
def get_model_url(self, shipper_id: int) -> str:
model = self.model_map.get(shipper_id, "default-model")
return f"https://{self.space_base}/{model}"
dataset: str = "senga-ml/dnotes-data-v6"
base_config: str = "naver-clova-ix/donut-base"
base_processor: str = "naver-clova-ix/donut-base"
base_model: str = "naver-clova-ix/donut-base"
inference_stats_file: str = "data/donut_inference_stats.json"
training_stats_file: str = "data/donut_training_stats.json"
evaluate_stats_file: str = "data/donut_evaluate_stats.json"
settings = Settings() |