AI

Accelerating Hugging Face Transformers with AWS Inferentia2

Hugging Face, a popular platform for natural language processing (NLP) and computer vision models, has announced that its Transformers library can now be accelerated using AWS Inferentia2. This means that users of Hugging Face's library can take advantage of the high-performance capabilities of AWS Inferentia2 to speed up their model training and inference times. The integration is made possible through a new plugin that allows users to easily deploy their models on AWS Infer
Hugging Face, a popular platform for natural language processing (NLP) and computer vision models, has announced that its Transformers library can now be accelerated using AWS Inferentia2. This means that users of Hugging Face's library can take advantage of the high-performance capabilities of AWS Inferentia2 to speed up their model training and inference times. The integration is made possible through a new plugin that allows users to easily deploy their models on AWS Inferentia2 without requiring significant changes to their code. --- Why it matters: This matters because it enables researchers and developers to train and run more complex AI models in less time, which can lead to breakthroughs in areas like NLP and computer vision. It also makes it easier for them to deploy these models on cloud infrastructure. Source: https://huggingface.co/blog/accelerate-transformers-with-inferentia2

This article was originally published at: https://huggingface.co/blog/accelerate-transformers-with-...