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  1. 🤗 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. These models support common tasks in different modalities, such as:

  2. Since its introduction in 2017, the original Transformer model (see the Annotated Transformer blog post for a gentle technical introduction) has inspired many new and exciting models that extend beyond natural language processing (NLP) tasks.

  3. Here is the full list of the currently provided pretrained models together with a short presentation of each model. For a list that includes community-uploaded models, refer to https://huggingface.co/models. 12-layer, 768-hidden, 12-heads, 110M parameters.

  4. www.hugging-face.org › modelsHuggingFace Models

    HuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks. These models are part of the HuggingFace Transformers library, which supports state-of-the-art models like BERT, GPT, T5, and many others.

  5. State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow. 🤗 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 ...

  6. www.hugging-face.org › hugging-face-transformersHugging Face Transformers

    Nov 20, 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained models.

  7. Jan 29, 2024 · Hugging Face Transformers offers pre-trained models for a range of natural language processing (NLP) activities, including translation, named entity identification, text categorization, and more. Using pretrained models will reduce your compute costs, carbon footprint, and save your time and resources required to train a model from scratch.

  8. Hugging Face transformers is a platform that provides the community with APIs to access and use state-of-the-art pre-trained models available from the Hugging Face hub.

  9. Feb 6, 2023 · Learn how to use Hugging Face transformers pipelines for NLP tasks with Databricks, simplifying machine learning workflows.

  10. Jan 31, 2024 · The Hugging Face Transformer Library is an open-source library that provides a vast array of pre-trained models primarily focused on NLP. It’s built on PyTorch and TensorFlow, making it incredibly versatile and powerful.