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Updated in [September 06th, 2023]

What skills and knowledge will you acquire during this course? This course will provide participants with the skills and knowledge to understand the basics of Hugging Face and its applications in natural language processing. Participants will learn about the different components of Hugging Face, such as the transformer architecture, tokenizers, and datasets. They will also gain an understanding of how to use Hugging Face to build models for text classification, sentiment analysis, and other tasks. Additionally, participants will gain an understanding of how to use Hugging Face to create custom datasets and fine-tune models for specific tasks. Finally, participants will gain an understanding of how to use Hugging Face to deploy models in production. How does this course contribute to professional growth? This course contributes to professional growth by providing an opportunity to explore the fundamentals of the Hugging Face Transformer library. Participants will gain a better understanding of the library's capabilities and how to use it to create powerful machine learning models. Additionally, the course will provide an opportunity to discuss the chapter with other professionals, allowing for the exchange of ideas and the development of new insights. Is this course suitable for preparing further education? This course provides an introduction to the Hugging Face Transformer library and its applications. It is a great starting point for those interested in learning more about the library and its capabilities. The course covers the basics of the library, including its architecture, components, and usage. It also provides an overview of the various applications of the library, such as natural language processing, text classification, and question answering. The course is suitable for those looking to gain a better understanding of the library and its capabilities, and could be used as a foundation for further exploration and study.