smpanaro/ModernBERT-AppleNeuralEngine
ModernBERT model optimized for Apple Neural Engine.
This project offers a version of the ModernBERT language model specifically optimized for Apple's Neural Engine. It takes in a pre-trained ModernBERT model and converts it into a format that runs efficiently on Apple silicon, producing fast and energy-efficient text predictions. Developers building machine learning applications for macOS or iOS devices would use this to integrate powerful language understanding directly into their apps.
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Use this if you are a developer looking to deploy a ModernBERT-based application on Apple devices and need to maximize performance and minimize power consumption.
Not ideal if you need exact prediction parity with higher-precision PyTorch models or require support for very long text sequences exceeding 1024 tokens.
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Python
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Last pushed
Jan 10, 2025
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