Instructions to use mweinbach1/onnx-magpie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use mweinbach1/onnx-magpie with NeMo:
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- Notebooks
- Google Colab
- Kaggle
File size: 780 Bytes
2b9fdf9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | {
"model_path": "models\\magpie_codec_decoder.onnx",
"ir_version": 8,
"producer_name": "pytorch",
"producer_version": "2.10.0",
"opsets": [
{
"domain": "ai.onnx",
"version": 18
}
],
"inputs": [
{
"name": "codes",
"elem_type": "INT64",
"shape": [
1,
8,
"codec_time"
]
},
{
"name": "codes_lens",
"elem_type": "INT64",
"shape": [
1
]
}
],
"outputs": [
{
"name": "audio",
"elem_type": "FLOAT",
"shape": [
"Reshapeaudio_dim_0",
"sample_time"
]
},
{
"name": "audio_lens",
"elem_type": "INT64",
"shape": [
1
]
}
]
}
|