You asked: What are Huggingface transformers?

What is Hugging Face used for?

It combines Mask Language Model (MLM) and Next Sentence Prediction (NSP). It’s a versatile deep learning model that can be used on classification, Q&A, translation, summarization, and so on.

What is Hugging Face?

Hugging Face is an open-source & platform provider of machine learning technologies. Hugging Face was launched in 2016 and is headquartered in New York.

Why is it called Hugging Face?

Named after the popular emoji, Hugging Face was founded by Clément Delangue and Julien Chaumond in 2016. … Recently, Hugging Face raised $40 million in Series B funding led by Addition.

What is Hugging Face Bert?

BERT is a bidirectional transformer pre-trained using a combination of masked language modeling and next sentence prediction. The core part of BERT is the stacked bidirectional encoders from the transformer model, but during pre-training, a masked language modeling and next sentence prediction head are added onto BERT.

Who created Hugging Face?

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. As part of that effort, Hugging Face closed a $40 million series B funding round today.

Is Hugging Face open source?

Hugging Face’s Transformers library is open source, licensed under the Apache License, version 2.0. As a result, some deep learning work that is closed source is not available to the platform.

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Is Huggingface a PyTorch?

NLP-focused startup Hugging Face recently released a major update to their popular “PyTorch Transformers” library, which establishes compatibility between PyTorch and TensorFlow 2.0, enabling users to easily move from one framework to another during the life of a model for training and evaluation purposes.