A vast repository of pre-trained machine learning models across various modalities including NLP, computer vision, and audio.
Thousands of publicly available datasets for training, fine-tuning, and evaluating AI models.
A platform for building, hosting, and sharing interactive machine learning demos and applications directly in a browser.
A Python library providing state-of-the-art pre-trained models for natural language processing, computer vision, and audio tasks.
Hosted APIs for quickly testing and deploying models without managing underlying infrastructure, offering a pay-as-you-go model.
A simplified tool for training custom models with minimal code and configuration, making fine-tuning accessible.
Access to specialized hardware like GPUs and TPUs for faster model training and inference, available through various services.
Limited private models, basic inference API usage, shared CPU/GPU for Spaces, community support.
Increased private model storage, higher inference API limits, priority access to shared hardware, enhanced community support.
Dedicated infrastructure, advanced security features, custom support, private deployments, Service Level Agreements (SLAs).
Pay-as-you-go for dedicated, scalable model deployment infrastructure, billed per hour/GPU usage.
Billed per training hour, often with free credits for initial use, for automated model training.
32K - 128K tokens
Custom LLM, GPT-4o
Web App
SOC 2, GDPR
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