Natural Language Processing with Hugging Face Transformers
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Discover the power of Hugging Face Transformers in NLP. Learn text summarization, sentiment classification, translation, and more. Enhance communication and accessibility with pre-trained models for diverse audiences.
At a Glance
This Guided Project will walk you through some of the applications of Hugging Face Transformers in Natural Language Processing (NLP). Hugging Face Transformers provide pre-trained models for a variety of applications in NLP and Computer Vision. For example, these models are widely used in near real-time translation tasks, opening communication spaces to language-diverse and hearing-impaired audiences. In this project, you will learn and practice applying these models to do text summarization, sentiment classification, translation, generate new text, and extract information from text.
This Guided Project will introduce you to a simple way of performing various text analysis tasks, such as sentiment analysis, translating a text from one language to another, generating and summarizing text.
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