dimitreOliveira/hf_tf_serving_examples
Simple examples of serving HuggingFace models with TensorFlow Serving
This project helps machine learning engineers deploy Hugging Face models for text-based tasks into a production environment using TensorFlow Serving. It takes pre-trained Hugging Face models and outputs a robust, scalable serving infrastructure, allowing applications to query the models for predictions. The end-user is a machine learning engineer responsible for model deployment and MLOps.
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Use this if you need to serve Hugging Face transformer models efficiently and scalably in a production setting.
Not ideal if you are looking for a simple inference script for local testing or if you do not have experience with Docker and TensorFlow Serving.
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Python
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Apache-2.0
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Last pushed
Oct 21, 2023
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