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  1. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  2. instruction-pretrain/instruction-synthesizer. Text Generation • Updated about 22 hours ago • 292 • 38. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  3. Hugging FaceThe AI community building the future. Create a new model. From the website. Hub documentation. Take a first look at the Hub features. Programmatic access. Use the Hub’s Python client library. Getting started with our git and git-lfs interface. You can create a repository from the CLI (skip if you created a repo from the website)

  4. The AI community building the future. Hugging Face has 229 repositories available. Follow their code on GitHub.

  5. 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.

  6. Nov 2, 2023 · Hugging Face AI is a platform and community dedicated to machine learning and data science, aiding users in constructing, deploying, and training ML models. It offers the necessary infrastructure for demonstrating, running, and implementing AI in real-world applications.

  7. 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.

  8. en.m.wikipedia.org › wiki › Hugging_faceHugging Face - Wikipedia

    Hugging Face, Inc. is a French-American company incorporated under the Delaware General Corporation Law and based in New York City that develops computation tools for building applications using machine learning.

  9. 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 ...

  10. 59.5K subscribers ‧ 260 videos. HuggingFace is on a mission to solve Natural Language Processing (NLP) one commit at a time by open-source and open-science. huggingface.co and 2 more links.

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