fix: standalone config class without hunyuan_vl dependency

configuration_brain_ocr.py

@@ -1,4 +1,35 @@
-from transformers.models.hunyuan_vl.configuration_hunyuan_vl import HunYuanVLConfig
+from transformers import PretrainedConfig
 
-class BrainOCRConfig(HunYuanVLConfig):
+
+class BrainOCRVisionConfig(PretrainedConfig):
+    model_type = "brain_ocr_vision"
+
+    def __init__(self, image_size=560, patch_size=14, hidden_size=1280,
+                 intermediate_size=5120, num_hidden_layers=32,
+                 num_attention_heads=16, channels=3, layer_norm_eps=1e-6,
+                 attention_dropout=0.0, **kwargs):
+        super().__init__(**kwargs)
+        self.image_size = image_size
+        self.patch_size = patch_size
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+        self.channels = channels
+        self.layer_norm_eps = layer_norm_eps
+        self.attention_dropout = attention_dropout
+
+
+class BrainOCRConfig(PretrainedConfig):
     model_type = "brain_ocr"
+    sub_configs = {"vision_config": BrainOCRVisionConfig}
+
+    def __init__(self, **kwargs):
+        vision_config = kwargs.pop("vision_config", None)
+        if isinstance(vision_config, dict):
+            self.vision_config = BrainOCRVisionConfig(**vision_config)
+        elif isinstance(vision_config, BrainOCRVisionConfig):
+            self.vision_config = vision_config
+        else:
+            self.vision_config = BrainOCRVisionConfig()
+        super().__init__(**kwargs)