Natural Language Processing with Transformers Revised Edition by Leandro von...

Description: Natural Language Processing with Transformers Revised Edition by Lewis Tunstall, Thomas Wolf, Leandro Von Werra Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve.Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answeringLearn how transformers can be used for cross-lingual transfer learningApply transformers in real-world scenarios where labeled data is scarceMake transformer models efficient for deployment using techniques such as distillation, pruning, and quantizationTrain transformers from scratch and learn how to scale to multiple GPUs and distributed environmentsAbout the AuthorLewis Tunstall is a data scientist at Swisscom, focused on building machine learning powered applications in the domains of natural language processing and time series. A former theoretical physicist, he has over 10 years experience translating complex subject matter to lay audiences and has taught machine learning to university students at both the graduate and undergraduate levels. Leandro von Werra is a data scientist at Swiss Mobiliar where he leads the company's natural language processing efforts to streamline and simplify processes for customers and employees. He has experience working across the whole machine learning stack, and is the creator of a popular Python library that combines Transformers with reinforcement learning. He also teaches data science and visualisation at the Bern University of Applied Sciences. Thomas Wolf is Chief Science Officer and co-founder of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney.Import Duty and Taxes As a Seller, we are unable to anticipate import duties or taxes for buyer country in advance. Our selling price does not include them. So, it is buyers responsibility. Payment We accept payment by Payoneer. Shipping Your order will be shipped within 3-4 business days of receiving payment. In the very unlikely event that your item is lost or damaged during post, then We are responsible and will issue either a full refund or replacement. NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY. THE COMPANY MAY CHANGE ITEM DESIGN / PATTERN / PACKAGING FROM TIME TO TIME. WE WILL SHIP THE LATEST STOCK AVAILABLE WITH US. Returns If our product condition is not correct, you can return the product and get a full refund or exchange the product for another one, You can return a product for up to 30 days from the date you purchased it minus shipping and other fees. Feedback Your feedback is important for us. Please contact us if you have any problem with this product, we will solve that problem because we will always be happy to help you. Please Contact me Before open a case or negative feedback. Please don't open a case or leave a negative feedback. Thank you We can't buy happiness, but We can buy something for happiness.

Price: 44.99 USD

Location: DELHI, DELHI

End Time: 2024-12-15T14:22:48.000Z

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