Text-to-Speech
Transformers
Safetensors
MLX
English
vibevoice_streaming
Realtime TTS
Streaming text input
Long-form speech generation
8-bit precision
Instructions to use mlx-community/VibeVoice-Realtime-0.5B-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/VibeVoice-Realtime-0.5B-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="mlx-community/VibeVoice-Realtime-0.5B-8bit")# Load model directly from transformers import VibeVoiceStreamingForConditionalGenerationInference model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("mlx-community/VibeVoice-Realtime-0.5B-8bit", dtype="auto") - MLX
How to use mlx-community/VibeVoice-Realtime-0.5B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VibeVoice-Realtime-0.5B-8bit mlx-community/VibeVoice-Realtime-0.5B-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
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