Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia
Hugging Face, a popular open-source library for natural language processing (NLP), has partnered with Amazon Web Services (AWS) to accelerate the inference of BERT models using AWS Inferentia. This collaboration enables users to run BERT-based applications on AWS's cloud infrastructure at lower costs and faster speeds. The optimized solution is now available in Hugging Face's Transformers library, allowing developers to easily integrate it into their projects.
Hugging Face, a popular open-source library for natural language processing (NLP), has partnered with Amazon Web Services (AWS) to accelerate the inference of BERT models using AWS Inferentia. This collaboration enables users to run BERT-based applications on AWS's cloud infrastructure at lower costs and faster speeds. The optimized solution is now available in Hugging Face's Transformers library, allowing developers to easily integrate it into their projects.
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Why it matters: This matters because it can significantly reduce the computational resources needed for NLP tasks, making them more accessible to researchers and developers who want to build large-scale language models like BERT. This could lead to faster development of applications that rely on these models.
Source: https://huggingface.co/blog/bert-inferentia-sagemaker
This article was originally published at: https://huggingface.co/blog/bert-inferentia-sagemaker