Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Edge0/Audio8-TTS-Realistic-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edge0/Audio8-TTS-Realistic-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edge0/Audio8-TTS-Realistic-0.6b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Edge0/Audio8-TTS-Realistic-0.6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Today
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Use the Audio8 orange-red accent for the Demo badge
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Add the validated ZeroGPU Playground
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Fix model-card badge layout using Hugging Face native badge styling
Verified signatureRename the four SVG badges to *-badge.svg and keep them in one Markdown paragraph. Preserve artwork, dimensions, destinations and all card content. Repository remains private.655a4cd -
Align Realistic model card presentation and release information
Verified signatureCentered monochrome hero, matching badges and navigation, approved Arena paragraph and final Demo destination. Preserve evaluation, language support, usage and serving information. Keep the repository private.a88d3f1
13 days ago
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Link Audio8 technical report and correct paper associations
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Refine model card layout, language coverage, and Preview comparisons
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Prepare Audio8-TTS-Realistic-0.6B private release
Verified signatureComplete inference package, model card, multilingual evaluation, and verified SGLang Omni compatibility.b337fe7 -
initial commit
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