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  1. pypi.org › project › transformerstransformers · PyPI

    6 aug. 2024 · Transformers is more than a toolkit to use pretrained models: it's a community of projects built around it and the Hugging Face Hub. We want Transformers to enable developers, researchers, students, professors, engineers, and anyone else to build their dream projects.

  2. 14 aug. 2024 · Hugging Face Transformers is a library built on top of PyTorch and TensorFlow, which means you need to have one of these frameworks installed to use Transformers effectively. The installation process is straightforward, but it’s important to follow each step to avoid issues.

  3. 5 aug. 2024 · Hugging Face Transformers are a groundbreaking resource in the field of AI, particularly within NLP. By understanding their technical intricacies, exploring diverse applications, and following best practices, you can significantly enhance your AI projects.

  4. 2 aug. 2024 · In this blog post, we will explore the technical details of Hugging Face Transformers, discuss its key components, delve into real-world applications, and share best practices to optimize your NLP projects using this powerful library.

  5. Acum 1 zi · Using Hugging Face Transformers, we can build a recommendation system that uses the embedding and cosine similarity approach. The embedding approach is powerful as it can account for the text's semantic relationship and contextual meaning. Cornellius Yudha Wijaya is a data science assistant manager and data writer.

  6. Check out the Transformers.js template on Hugging Face to get started in one click!

  7. 14 aug. 2024 · How to do multi-node, distributed CPU fine-tuning for transformers with hyperparameter optimization using the Hugging Face transformers and Accelerate library, and Intel® Extension for PyTorch*.

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