Hugging Face has released a tutorial on deploying TensorFlow vision models using TF Serving. This allows users to serve and deploy pre-trained vision models in a production-ready environment. The tutorial covers the process of setting up TF Serving, loading a model, and making predictions. It also includes examples of how to use this with Hugging Face's Transformers library. --- Why it matters: This matters for researchers and engineers working on computer vision tasks because it provides a straightforward way to deploy their models in production environments, which is often a major hurdle in AI development. Source: https://huggingface.co/blog/tf-serving-vision