Instructions to use Reza2kn/Gooya-RizehPizeh-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Reza2kn/Gooya-RizehPizeh-v2 with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,064 Bytes
4470132 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"schema_version": "gooya.rizehpizeh-v2-unchunked-onnx-smoke/v1",
"model_sha256": "3f85f450fc21415e1eddaa0aa894c667e76d14aa9a342c4e77f1f9009b96f170",
"config_sha256": "981770210ac1aea618cb8134597127911051deabf9900824df3388f209a884fa",
"bytes": 63516051,
"onnxruntime_version": "1.23.2",
"providers": ["CPUExecutionProvider"],
"inputs": [
{"name": "input", "type": "tensor(int64)", "shape": ["batch_size", "phonemes"]},
{"name": "input_lengths", "type": "tensor(int64)", "shape": ["batch_size"]},
{"name": "scales", "type": "tensor(float)", "shape": [3]}
],
"outputs": [
{"name": "output", "type": "tensor(float)", "shape": ["batch_size", 1, 1, "Unsqueezeoutput_dim_3"]}
],
"scales": [0.667, 1, 0.8],
"rows": [
{"name": "canonical", "phone_ids": 181, "output_shape": [1, 1, 1, 99328], "samples": 99328, "finite": true, "peak": 0.8139110207557678},
{"name": "long_colloquial", "phone_ids": 571, "output_shape": [1, 1, 1, 283136], "samples": 283136, "finite": true, "peak": 0.8082336783409119}
],
"passed": true
}
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