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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Visual Question Answering • Updated 29 days ago • 114k • 1.31k. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face – The 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)
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.
The AI community building the future. Hugging Face has 232 repositories available. Follow their code on GitHub.
Hugging Face is an innovative technology company and community at the forefront of artificial intelligence development.
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.
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.
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 ...
The course teaches you about applying Transformers to various tasks in natural language processing and beyond. Along the way, you'll learn how to use the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate — as well as the Hugging Face Hub. It's completely free and open-source!
