Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Audio8/Audio8-TTS-Preview-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-TTS-Preview-0.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix Seed-TTS comparison highlighting
Browse files
README.md
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@@ -195,7 +195,7 @@ WER/CER is better; higher similarity is better.
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| 195 |
| Higgs Audio v2 | 4.7B | 1.524 / 66.4 | **0.806** / 72.1 |
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| 196 |
| CosyVoice3-1.5B | 1.5B | 2.22 / 72.0 | 1.12 / 78.1 |
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| 197 |
| MOSS-TTS | 8.5B | 1.85 / 73.4 | 1.20 / 78.8 |
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| 198 |
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| VoxCPM2 | 2.3B | 1.84 /
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| 199 |
| IndexTTS2.5 | 0.8B | 3.253 / **82.3** | 1.119 / **80.4** |
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| 200 |
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| 201 |
The IndexTTS2.5 row uses the Token-Level Concatenation result from the
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| 195 |
| Higgs Audio v2 | 4.7B | 1.524 / 66.4 | **0.806** / 72.1 |
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| 196 |
| CosyVoice3-1.5B | 1.5B | 2.22 / 72.0 | 1.12 / 78.1 |
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| 197 |
| MOSS-TTS | 8.5B | 1.85 / 73.4 | 1.20 / 78.8 |
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| 198 |
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| VoxCPM2 | 2.3B | 1.84 / 75.3 | 0.97 / 79.5 |
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| 199 |
| IndexTTS2.5 | 0.8B | 3.253 / **82.3** | 1.119 / **80.4** |
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| 200 |
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| 201 |
The IndexTTS2.5 row uses the Token-Level Concatenation result from the
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