How to use Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit")
# Load model directly from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform extractor = AutoFeatureExtractor.from_pretrained("Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit") model = AutoModelForTextToWaveform.from_pretrained("Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit")
How to use Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir marvis-tts-250m-v0.1-MLX-4bit Marvis-AI/marvis-tts-250m-v0.1-MLX-4bit
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