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The platform for on-device AI, with optimized open source and licensed models, or bring your own. Validate performance on real Qualcomm devices.
Developer toolsPython · JinjaGitHub @qualcommOnlineOwner unconfirmed
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Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Taken from the repository README
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Qualcomm® AI Hub Models
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The Qualcomm® AI Hub Models are a collection of
state-of-the-art machine learning models optimized for deployment on Qualcomm® devices.
• List of Models by Category
• On-Device Performance Data
• Device-Native Sample Apps
See supported: On-Device Runtimes, Hardware Targets & Precision, Chipsets, Devices
NEW: Quick Start with the AI Hub Models CLI
Use our lightweight command-line interface to browse and download from the collection of Qualcomm® AI Hub Models.
The CLI also offers a Python API.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Qualcomm® AI Hub Models
%2C%203.11%2C%203.12%2C%203.13-yellow)
The Qualcomm® AI Hub Models are a collection of
state-of-the-art machine learning models optimized for deployment on Qualcomm® devices.
• List of Models by Category
• On-Device Performance Data
• Device-Native Sample Apps
See supported: On-Device Runtimes, Hardware Targets & Precision, Chipsets, Devices
NEW: Quick Start with the AI Hub Models CLI
Use our lightweight command-line interface to browse and download from the collection of Qualcomm® AI Hub Models.
The CLI also offers a Python API.Read the full README ↗