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Hugging Face

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May 1, 2024 Updated July 6, 2025 12 minute read
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Hugging Face is an open-source platform, community, and set of free, accessible resources that make it easier for practitioners, researchers, and businesses to use Natural Language Processing (NLP) technology. Founded in Paris, France in 2016, Hugging Face offers a range of NLP tools and services that empower users to easily access, visualize, and fine-tune state-of-the-art natural language models, such as the Transformer and GPT family of models.

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We've selected three 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.
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Natural Language Processing with Transformers
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Provides a comprehensive overview of Hugging Face and its various components, including model hubs, datasets, and training pipelines. It also includes hands-on tutorials for building and deploying NLP models with Hugging Face.
Natural Language Processing with Transformers
Paperback
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Natural Language Processing with Transformers
Kindle Edition
Check
Cover image
Natural Language Processing with Transformers,...
Save
Provides a comprehensive overview of Hugging Face and its various components, including model hubs, datasets, and training pipelines. It also includes hands-on tutorials for building and deploying NLP models with Hugging Face.
Natural Language Processing with Transformers,...
Paperback
$$
Natural Language Processing with Transformers,...
Kindle Edition
$$
Cover image
Natural Language Processing with Transformers,...
Save
Provides a comprehensive overview of Hugging Face and its various components, including model hubs, datasets, and training pipelines. It also includes hands-on tutorials for building and deploying NLP models with Hugging Face.
Natural Language Processing with Transformers,...
Paperback
Check
Natural Language Processing with Transformers,...
Kindle Edition
Check
Relevant careers
Machine Learning Engineer
NLP Engineer
Data Scientist
Software Engineer
Product Manager
Research Scientist
Data Analyst
AI Engineer
Technical Writer
Business Analyst
Related topics
Machine Learning
Deep Learning
Natural Language Processing
AI Engineering
MLOps
Causal Inference
Data Science
Programming
Big Data
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Related courses
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