Tag
BeeNara is a 332MB ONNX cross-encoder model for document sorting that uses split-conformal prediction to provide calibrated 'none fits' responses for uncertain classifications.
This article introduces Kokoro, a lightweight 82M-parameter text-to-speech model that runs locally on CPU, providing high-quality speech synthesis across multiple languages while preserving privacy. It explains how to set up Kokoro via a Docker container with an OpenAI-compatible API for easy integration.
MOSS-TTS-Nano is an open-source multilingual speech generation model with only 0.1B parameters, designed for real-time TTS that runs directly on CPU without GPU. Released by OpenMOSS team and MOSI.AI, it enables simple local deployment for web serving and product integration.