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
| { | |
| "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 | |
| ] | |
| } | |
| ] | |
| } | |