Text-to-Speech
LiteRT
LiteRT
ONNX
Core ML
PyTorch
tts
singing
singing-voice-synthesis
multilingual
expressive-tts
duration-flow
Instructions to use spybyscript/scyllasband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/scyllasband with LiteRT:
# 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: 928 Bytes
d48a314 | 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 | {
"batch_dynamic": true,
"format": "scyllasband_g2p",
"input_granularity": "phrase",
"languages": [
"de",
"en_gb",
"en_us",
"es",
"fr",
"it",
"vi"
],
"model_type": "transformer",
"onnx_export_batch_size": 4,
"onnx_export_layout": "batch_first",
"onnx_export_max_batch_size": 256,
"onnx_exporter": "dynamo",
"onnx_fp32_model": "model.onnx",
"onnx_model": "model.onnx",
"onnx_padded_output": "ctc_blank",
"onnx_quantization": "none",
"onnx_quantized_parity_tolerance": 3.0,
"opset": 18,
"phoneme_token_mode": "char",
"phrase_rows_per_language": 200000,
"preserve_commas": true,
"punctuation_silence_target": "explicit_silence",
"release_role": "fp32_bundle_frontend",
"source_checkpoint": "output/deepphonemizer_multilingual/model_v10_7lang/checkpoints/model_step_250k.pt",
"training_mix": "phrase_word_chunked_clean",
"word_rows_per_language": 200000
}
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