Instructions to use arraypress/tts-supertonic-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Supertonic
How to use arraypress/tts-supertonic-3 with Supertonic:
from supertonic import TTS tts = TTS(auto_download=True) style = tts.get_voice_style(voice_name="M1") text = "The train delay was announced at 4:45 PM on Wed, Apr 3, 2024 due to track maintenance." wav, duration = tts.synthesize(text, voice_style=style) tts.save_audio(wav, "output.wav")
- Notebooks
- Google Colab
- Kaggle
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Download README.md from arraypress/tts-supertonic-3: direct link, hf CLI and curl.
- Browser
- Download file 1.83 kB
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https://huggingface.co/arraypress/tts-supertonic-3/resolve/main/README.md
- Command line
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hf download hf://arraypress/tts-supertonic-3/README.md
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curl -L -o README.md https://huggingface.co/arraypress/tts-supertonic-3/resolve/main/README.md
1.83 kB
| license: openrail | |
| license_name: bigscience-openrail-m | |
| license_link: LICENSE | |
| pipeline_tag: text-to-speech | |
| tags: [tts, onnx, supertonic, mirror] | |
| base_model: Supertone/supertonic-3 | |
| # Supertonic 3 (mirror) — for the arraypress speech tools | |
| An **unmodified** mirror of [Supertone/supertonic-3](https://huggingface.co/Supertone/supertonic-3) | |
| at commit `3cadd1ee6394adea1bd021217a0e650ede09a323`: the six ONNX/JSON files of the | |
| pipeline (duration predictor, text encoder, vector estimator, vocoder, tokenizer config, | |
| unicode indexer) and the ten voice styles (F1–F5, M1–M5), ~410 MB. It exists so the fleet's | |
| `swift-tts` (and the `speak` / `redub` tools on it) download from a repository pinned and | |
| controlled by the same people as the tools, rather than following another repo's `main`. | |
| Every file matches the hash Supertone publishes (SHA-256 for the large files, git blob | |
| SHA-1 for the small ones). For the model itself — what it is, quality, languages — see | |
| [Supertone's model card](https://huggingface.co/Supertone/supertonic-3). | |
| ## Licence and use restrictions | |
| **BigScience OpenRAIL-M** (`LICENSE`). Using these files means accepting it, including the | |
| **use-based restrictions in Attachment A** — among them: no use that violates law; no | |
| exploiting or harming minors; no generating or disseminating verifiably false information | |
| to harm others; no personally identifiable information to harm individuals; no | |
| defamation or harassment; no fully automated decisions that adversely affect legal rights; | |
| no discrimination; no medical advice or results interpretation; no use for administration | |
| of justice or law enforcement in ways that adversely affect rights. Read Attachment A for | |
| the full list. Anyone you share the model or a derivative with must be bound by the same | |
| restrictions. Attribution: see `NOTICE`. | |