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Transformer is a NN model and a Python library

Is Transformer a Model or a Python Library?

When discussing Transformers in the context of AI and machine learning, the term can refer to both a model architecture and a Python library. Let's break it down:

1. Transformer as a Model

A Transformer is a deep learning model architecture introduced in the 2017 paper "Attention Is All You Need" by Vaswani et al. It is primarily used for natural language processing (NLP) tasks, such as machine translation and text generation. Transformers power models like GPT, BERT, and T5.

2. Transformers as a Python Library

Hugging Face's transformers library is a popular Python package that provides pre-trained Transformer models. It allows developers to easily implement and fine-tune models for NLP and other AI applications. To install it, use:

pip install transformers

Conclusion

The term Transformer can refer to both a model architecture and a Python library. The model is a fundamental concept in deep learning, while the library makes it easier to use these models in real-world applications.


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