Create configuration_efficientnetv25.py

configuration_efficientnetv25.py

@@ -0,0 +1,20 @@
+from transformers import PretrainedConfig
+
+class EfficientNetV25Config(PretrainedConfig):
+    model_type = "efficientnetv25"
+
+    def __init__(self,
+                url="https://huggingface.co/FredZhang7/efficientnetv2.5_rw_s/resolve/main/efficientnetv2.5_base_in1k.pth",
+                input_size=[3, 304, 304],
+                num_classes=1000,
+                interpolation="bicubic",
+                mean=[0.5, 0.5, 0.5],
+                std=[0.5, 0.5, 0.5],
+                **kwargs):
+        self.url = url
+        self.input_size = input_size
+        self.num_classes = num_classes
+        self.interpolation = interpolation
+        self.mean = mean
+        self.std = std
+        super().__init__(**kwargs)