LiteRT and Qualcomm AI Hub: On-Device ML Without the Cloud
A practical guide for ML engineers on converting PyTorch models to LiteRT, benchmarking on real Android devices via ADB, and when to use Qualcomm AI Hub for NPU compilation.
مقالات وتجارب وملاحظات حول optimization.
A practical guide for ML engineers on converting PyTorch models to LiteRT, benchmarking on real Android devices via ADB, and when to use Qualcomm AI Hub for NPU compilation.
From $32k to $0 translating with small models and CTranslate2; includes compute_type int8_float16, quantization 4-bit, and 4-6x speed gains.