DomHudson/bert-in-production
A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
This project helps machine learning engineers and data scientists implement and optimize advanced language models like BERT in real-world applications. It provides resources to convert raw text data into meaningful insights, using pre-trained models or custom-trained variants. The output is a highly performant and efficient language model ready for deployment in production systems.
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Use this if you are a machine learning engineer or data scientist looking to deploy large language models efficiently in production environments, and need guidance on optimization techniques like knowledge distillation or model compression.
Not ideal if you are a business user looking for a ready-to-use, off-the-shelf natural language processing solution without needing to engage in model implementation or optimization.
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Apr 08, 2021
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