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Hugging Face
Hugging Face addresses the challenges faced by machine learning practitioners in collaborating on models, datasets, and applications.
About Hugging Face
Hugging Face addresses the challenges faced by machine learning practitioners in collaborating on models, datasets, and applications. By providing a unified platform, it facilitates the seamless sharing and development of machine learning resources, reducing the barriers to entry for individuals and organizations looking to leverage AI technologies. This is particularly beneficial for those who require access to a diverse range of models and datasets without the complexity of navigating multiple platforms. Key features of Hugging Face include collaborative hosting for public models, datasets, and applications, as well as access to over 45,000 models through a unified API. The platform supports various modalities such as text, image, video, audio, and 3D, making it versatile for different AI tasks. It is designed for a wide audience, including individual developers, researchers, and enterprises, offering tailored solutions with enterprise-grade security and dedicated support. With options for both free and paid compute resources, Hugging Face serves as a comprehensive tool for enhancing machine learning workflows.
Pricing & plans
Starting price
Contact for pricing
Free trial
No
Enterprise plan
Not available
Enterprise plans typically include dedicated support, custom integrations, and volume discounts. Contact the vendor for a personalized quote.