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Hugging Face Transformers

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May 1, 2024 3 minute read

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Hugging Face Transformers is a library for natural language processing (NLP) and machine learning (ML) that provides a variety of pre-trained transformer models. These models can be used for a variety of tasks, including text classification, question answering, and machine translation.

Why Hugging Face Transformers?

Hugging Face Transformers is a popular choice for NLP and ML because it offers a number of advantages, including:

Path to Hugging Face Transformers

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We've curated three courses to help you on your path to Hugging Face Transformers. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

2025 Fine Tuning LLM with Hugging Face Transformers for NLP

2025 Fine Tuning LLM with Hugging Face Transformers for...

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Deep Learning Masterclass with TensorFlow 2 Over 20 Projects

Deep Learning Masterclass with TensorFlow 2 Over 20...

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Pretraining LLMs

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Hugging Face Transformers.

Natural Language Processing with Transformers,...

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Provides a practical guide to using transformers for NLP tasks, including text classification, question answering, and machine translation. The authors are experienced practitioners in the field of NLP and have used transformers to solve real-world problems.

Natural Language Processing with Transformers,...

Paperback

Natural Language Processing with Transformers,...

Kindle Edition

Syntax-based Statistical Machine Translation

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Provides an overview of transformers for machine translation, covering the fundamentals of transformer models and their applications in machine translation tasks. The authors are leading researchers in the field of machine translation and have made significant contributions to the development of transformer models.

Syntax-based Statistical Machine Translation...

Paperback

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