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Today's video tutorial focuses on deploying a fine-tuned BERT model in two stages. Firstly, we will push the model to the Hugging Face Hub, which is like a GitHub for machine learning models. This is beneficial as it reduces the size of the image when deploying on platforms like AWS with Docker. The Hugging Face model is around 400+ MB, making deployment more efficient. Following this, we will deploy the model on Streamlit Cloud.
