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This repository contains a portable ONNX Runtime artifact derived from IBM's Granite Speech 4.1 2B NAR model for local transcription in Taurscribe.
Many factions have managed to overcome nature, and a few have even learned to live in harmony with it, but the Bronze Order remain the only ones ever to assimilate it and make it their own.
Pre-exported ONNX models for siglip-go — zero-shot image classification in Go.
Trained on Krea2 . Best result with weight between : 0.8-1.3
This model was trained by wyz based on the universalsev1 recipe in espnet. More information can be found at
Works best at 0.75 weight.
Works best at 0.75 weight.
