sayakpaul/deploy-hf-tf-vision-models
This repository shows various ways of deploying a vision model (TensorFlow) from π€ Transformers.
This project helps machine learning engineers or MLOps practitioners take their pre-trained vision models, like those from Hugging Face Transformers, and make them available for others to use. It shows how to convert a trained model into a web service that can process new images and return predictions. The output is a robust, scalable serving infrastructure for visual AI.
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Use this if you are an MLOps engineer needing to deploy TensorFlow-based vision models from Hugging Face Transformers for live inference, either on-premises or using Google Cloud services like Vertex AI or GKE.
Not ideal if you are an application developer simply looking to integrate an existing vision API into your app, or if you are training models and not concerned with their deployment.
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Apache-2.0
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Last pushed
Aug 22, 2022
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