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from transformers import PretrainedConfig, Qwen2Config, SiglipVisionConfig
class DoubutsuNextConfig(PretrainedConfig):
model_type = "doubutsu_next"
def __init__(self, **kwargs):
self.text_config = Qwen2Config(
**kwargs.pop(
"text_config",
{},
),
)
self.vision_config = SiglipVisionConfig(**kwargs.pop("vision_config", {}))
super().__init__(**kwargs)
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