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:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "model_path": "models\\magpie_decoder_prefix.onnx", | |
| "ir_version": 8, | |
| "producer_name": "pytorch", | |
| "producer_version": "2.10.0", | |
| "opsets": [ | |
| { | |
| "domain": "ai.onnx", | |
| "version": 18 | |
| } | |
| ], | |
| "inputs": [ | |
| { | |
| "name": "audio_tokens", | |
| "elem_type": "INT64", | |
| "shape": [ | |
| 1, | |
| 8, | |
| "audio_time" | |
| ] | |
| }, | |
| { | |
| "name": "audio_tokens_lens", | |
| "elem_type": "INT64", | |
| "shape": [ | |
| 1 | |
| ] | |
| }, | |
| { | |
| "name": "cond", | |
| "elem_type": "FLOAT", | |
| "shape": [ | |
| 1, | |
| "text_time", | |
| 768 | |
| ] | |
| }, | |
| { | |
| "name": "cond_mask", | |
| "elem_type": "BOOL", | |
| "shape": [ | |
| 1, | |
| "text_time" | |
| ] | |
| }, | |
| { | |
| "name": "additional_decoder_input", | |
| "elem_type": "FLOAT", | |
| "shape": [ | |
| 1, | |
| 110, | |
| 768 | |
| ] | |
| }, | |
| { | |
| "name": "additional_decoder_mask", | |
| "elem_type": "BOOL", | |
| "shape": [ | |
| 1, | |
| 110 | |
| ] | |
| } | |
| ], | |
| "outputs": [ | |
| { | |
| "name": "next_logits", | |
| "elem_type": "FLOAT", | |
| "shape": [ | |
| "Gathernext_logits_dim_0", | |
| 16192 | |
| ] | |
| }, | |
| { | |
| "name": "decoder_state", | |
| "elem_type": "FLOAT", | |
| "shape": [ | |
| "Gathernext_logits_dim_0", | |
| 768 | |
| ] | |
| } | |
| ] | |
| } | |