# Concatenate features features = torch.cat([text_features, image_features, user_behavior_features, technical_features], dim=1)
where each component is a dense vector representation of the corresponding feature. dvdplay malayalam movie download
model = MalayalamMovieDownloadDVDPlay() input_data = {'title': 'example movie title', 'poster_url': 'example poster url', 'download_count': 100, 'technical_features': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]} output = model(input_data) print(output) Note that this is a simplified example and you may need to modify it to suit your specific use case. Additionally, you will need to collect and preprocess the data to train and evaluate the model. # Concatenate features features = torch