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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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.
Jan 10, 2024 · Hugging Face is not only a company, but also a platform that is transforming the fields of AI and NLP through open source and open science. Hugging Face offers a platform called the Hugging Face Hub, where you can find and share thousands of AI models, datasets, and demo apps.
Oct 18, 2021 · Hugging Face Infinity is our new containerized solution to deploy fully optimized inference pipelines for state-of-the-art Transformer models into your own production environment 🔥.
Founded in 2016, Hugging Face was an American-French company aiming to develop an interactive AI chatbot targeted at teenagers. However, after open-sourcing the model powering this chatbot, it quickly pivoted to a grander vision: to arm the AI industry with powerful, accessible tools. Image by the author.
2 days ago · Hugging Face, a leading platform for developing and sharing machine learning models, has announced its profitability with a team of 220 members, marking a significant milestone in the competitive AI startup landscape. This achievement is particularly noteworthy as the company maintains a largely free and open-source platform, including model hosting services.
Sep 12, 2023 · By the end of this tutorial, you'll be equipped with the knowledge to use Hugging Face Transformers as a Library for analyzing the sentiment of text data. What is Hugging Face🤗? Hugging Face🤗 is a community specializing in Natural Language Processing (NLP) and artificial intelligence (AI).
Sep 24, 2023 · Hugging Face simplifies the process of accessing and training state-of-the-art models in PyTorch, TensorFlow and JAX, making these models – accessible to everyone. By using pre-trained models, users can save time, cut costs and even reduce their carbon footprint.
3 days ago · Learn how you can programmatically consume and run AI models from Hugging Face with Testcontainers and Ollama.
