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  1. State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX. 🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.

  2. 🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.

  3. Transformers is a series of science fiction action films based on the Transformers franchise. Michael Bay directed the first five live action films: Transformers (2007), Revenge of the Fallen (2009), Dark of the Moon (2011), Age of Extinction (2014), and The Last Knight (2017), and has served as a producer for subsequent films. A sixth film Bumblebee, directed by Travis Knight, was released in ...

  4. en.wikipedia.org › wiki › TransformersTransformers - Wikipedia

    Transformers is a media franchise produced by American toy company Hasbro and Japanese toy company Takara Tomy. It primarily follows the heroic Autobots and the villainous Decepticons, two alien robot factions at war that can transform into other forms, such as vehicles and animals. The franchise encompasses toys, animation, comic books, video ...

  5. Install 🤗 Transformers for whichever deep learning library you’re working with, setup your cache, and optionally configure 🤗 Transformers to run offline. 🤗 Transformers is tested on Python 3.6+, PyTorch 1.1.0+, TensorFlow 2.0+, and Flax. Follow the installation instructions below for the deep learning library you are using:

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  7. pypi.org › project › transformerstransformers · PyPI

    30 de may. de 2024 · 🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages.

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