Clarity-OMR / config.json
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{
"model_type": "clarity-omr",
"architectures": [
"DaViT_RoPE_Decoder"
],
"pipeline": {
"stage_a": {
"model": "yolo.pt",
"architecture": "YOLOv8m",
"task": "staff_detection"
},
"stage_b": {
"model": "model.safetensors",
"architecture": "DaViT encoder + custom RoPE decoder",
"encoder": "davit_base.msft_in1k",
"encoder_dim": 768,
"decoder_dim": 768,
"decoder_layers": 8,
"decoder_heads": 12,
"max_decode_length": 512,
"vocab_size": 487,
"adaptation": "DoRA",
"dora_rank": 64,
"task": "staff_recognition"
}
}
}