DataHour: Building NLP applications using Hugging Face
DataHour: Building NLP applications using Hugging Face
06 Jul 202213:07pm - 06 Jul 202214:07pm
DataHour: Building NLP applications using Hugging Face
About the Event
As amazing as state-of-the-art machine learning models are, training, optimizing, and deploying them remains a challenging endeavor that requires a significant amount of time, resources, and skills, all the more when different languages are involved. Unfortunately, this complexity prevents most organizations from using these models effectively, if at all. Instead, wouldn’t it be great if we could just start from pre-trained versions and put them to work immediately?
This is the exact challenge that Hugging Face is tackling. Its tools make it easy to add state-of-the-art Transformer models to your applications. Thanks to the open-source libraries of Hugging Face, developers can easily work with 5,000+ datasets and 50,000+ pre-trained models in 160+ languages. In fact, with over 65,000 stars on GitHub, the transformers library has become the de-facto tool for developers and data scientists who need state-of-the-art models for natural language processing, computer vision, and speech.
In this DataHour, Julien will introduce you to Transformer models and what business problems you can solve with them. Then, he’ll show you how you can simplify and accelerate your machine learning projects end-to-end: experimenting, training, optimizing, and deploying. Along the way, he’ll run some demos to keep things concrete and exciting!
Prerequisites: Enthusiasm for learning and basic concepts of Machine Learning & Python.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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