How to use mlx-community/VibeVoice-Realtime-0.5B-4bit 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-4bit")
# Load model directly from transformers import VibeVoiceStreamingForConditionalGenerationInference model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("mlx-community/VibeVoice-Realtime-0.5B-4bit", dtype="auto")
How to use mlx-community/VibeVoice-Realtime-0.5B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VibeVoice-Realtime-0.5B-4bit mlx-community/VibeVoice-Realtime-0.5B-4bit
The community tab is the place to discuss and collaborate with the HF community!
