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I'm working on a text summarization logic using Google's t5-small model. My implementation relies on the torch and transformers libraries. However, the problem is that when I build the Docker image, it becomes around 13 GB, which exceeds the deployment size limit. Can anyone suggest the best approach to reduce the image size while still supporting the model and required libraries?

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  • Did you check the image? Maybe it contains some unnecessary files like caches, etc. that are safe to remove?
    – Naveed Ahmed
    Commented 10 hours ago
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