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# Reshape for model video_tensor = video_tensor.unsqueeze(0) # Add batch dimension

# Load a pre-trained model model = torchvision.models.video.i3d_resnet50(pretrained=True) anal friend request.mp4

# Assuming 'video_path' is your video file video_path = 'anal friend request.mp4' video_tensor = video_to_tensor(video_path) # Reshape for model video_tensor = video_tensor

# Modify the model to output features num_ftrs = model.fc.in_features model.fc = nn.Identity() # Replace the classification layer with an identity function anal friend request.mp4

# Extract features with torch.no_grad(): features = model(video_tensor)