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: 1,673 Bytes
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"format": "onnx-magpie-export-summary-v1",
"nemo_path": "C:\\Users\\maxw6\\Projects\\onnx-magpie-artifacts\\magpie_tts_multilingual_357m.nemo",
"opset": 18,
"graphs": [
{
"path": "magpie_text_context.onnx",
"inputs": [
"text",
"text_lens",
"speaker_indices"
],
"outputs": [
"cond",
"cond_mask",
"additional_decoder_input",
"additional_decoder_mask"
]
},
{
"path": "magpie_decoder_prefix.onnx",
"inputs": [
"audio_tokens",
"audio_tokens_lens",
"cond",
"cond_mask",
"additional_decoder_input",
"additional_decoder_mask"
],
"outputs": [
"next_logits",
"decoder_state"
]
},
{
"path": "magpie_decoder_kv_init.onnx",
"inputs": [
"cond",
"cond_mask",
"additional_decoder_input",
"additional_decoder_mask"
],
"outputs": [
"present_cache",
"present_value_cache"
]
},
{
"path": "magpie_decoder_kv_step.onnx",
"inputs": [
"audio_tokens",
"audio_tokens_lens",
"cache_position",
"cond",
"cond_mask",
"past_cache",
"past_value_cache"
],
"outputs": [
"next_logits",
"present_cache",
"present_value_cache"
]
},
{
"path": "magpie_codec_decoder.onnx",
"inputs": [
"codes",
"codes_lens"
],
"outputs": [
"audio",
"audio_lens"
]
}
]
}
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