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The Hugging Face AI community aspires to advance and democratize artificial intelligence through open source and open science. In this course, Janani Ravi guides you through using this powerful AI tool to summarize text. Learn how extractive text summarization works, as well as its intermediate representations. Explore evaluation metrics, and find out how to navigate and access information on the Hugging Face platform. Go over logging into Hugging Face, using the sumy library for extractive summarization, and using abstractive text summarization with the Hosted Inference API. Learn about sequence-to-sequence models, transformers, and how to use them in Hugging Face. Plus, dive into using a Hugging Face pipeline to perform actual summarization, fine-tuning a transformer model, and exploring several Hugging Face transformers.
This course was created by Janani Ravi. We are pleased to host this training in our library.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

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Understanding Statistical Models and Mathematical Models

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Natural Language Generation with Python

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Communicating Data Insights

Scala 2 Methods and Functions
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