How to use Marvis-AI/marvis-tts-250m-v0.1-transformers 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-transformers")
# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("Marvis-AI/marvis-tts-250m-v0.1-transformers") model = AutoModelForTextToWaveform.from_pretrained("Marvis-AI/marvis-tts-250m-v0.1-transformers", device_map="auto")
How to use Marvis-AI/marvis-tts-250m-v0.1-transformers with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir marvis-tts-250m-v0.1-transformers Marvis-AI/marvis-tts-250m-v0.1-transformers
