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
Download webgpu/assets/g2p/export_config.json from spybyscript/scyllasband: direct link, hf CLI and curl.
- Browser
- Download file 928 Bytes
-
https://huggingface.co/spybyscript/scyllasband/resolve/main/webgpu/assets/g2p/export_config.json
- Command line
-
hf download hf://spybyscript/scyllasband/webgpu/assets/g2p/export_config.json
-
curl -L -o export_config.json https://huggingface.co/spybyscript/scyllasband/resolve/main/webgpu/assets/g2p/export_config.json
928 Bytes
| { | |
| "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 | |
| } | |