Article: Amazon AWS, Hugging Face team up to spread open-source deep learning

Code, Free, Language, Open Data, Open Software

Amazon AWS, Hugging Face team up to spread open-source deep learning

Two years ago, the New York-based startup Hugging Face burst onto the natural language processing scene with a way to let many more parties participate in state-of-the art deep learning. Transformers, a programming kit to quickly grab any of a number of natural language neural networks, including Google’s BERT, was posted as a library to be invoked from the dominant programming frameworks, PyTorch and TensorFlow.

It has grown and grown in popularity. More than 5,000 organizations are now using the library, the company says. The popularity of that toolkit has been recognized by Amazon AWS, the world’s biggest clouding computing provider, and the two companies Tuesday announced a partnership to combine Transformers with the best aspects of Amazon AWS’s programming tools.

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Article: Hugging Face triples investment in open source machine learning models

Free, Language, Open Data, Open Software, Open Source

Hugging Face triples investment in open source machine learning models

Hugging Face launched in 2016 with a chatbot app designed to be your “AI friend.” Now the NLP company has more than 100,000 community members and is planning to triple its efforts and expand beyond language models into fields like computer vision.

Developers have used a hub on Hugging Face to share thousands of models, and CEO and cofounder Clement Delangue told VentureBeat Hugging Face wants to become to machine learning what GitHub is to software engineering.

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