Upload model.py with huggingface_hub

model.py

@@ -0,0 +1,24 @@
+import torch
+import torch.nn as nn
+from torchvision import models
+
+class ASLResNet(nn.Module):
+    def __init__(self, num_classes):
+        super(ASLResNet, self).__init__()
+        
+        # Load pre-trained ResNet-50
+        self.model = models.resnet50(pretrained=True)
+        
+        # Replace classifier head
+        num_features = self.model.fc.in_features
+        self.model.fc = nn.Sequential(
+            nn.Dropout(0.3),
+            nn.Linear(num_features, 512),
+            nn.BatchNorm1d(512),
+            nn.ReLU(),
+            nn.Dropout(0.2),
+            nn.Linear(512, num_classes)
+        )
+    
+    def forward(self, x):
+        return self.model(x)