Marvis-TTS-250m-v0.2
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10 items • Updated • 10
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToWaveform
processor = AutoProcessor.from_pretrained("Marvis-AI/marvis-tts-250m-v0.2-MLX-8bit")
model = AutoModelForTextToWaveform.from_pretrained("Marvis-AI/marvis-tts-250m-v0.2-MLX-8bit", device_map="auto")Quick Links
Marvis-AI/marvis-tts-250m-v0.2-MLX-8bit
This model was converted to MLX format from Marvis-AI/marvis-tts-250m-v0.2 using mlx-audio version 0.2.6.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model Marvis-AI/marvis-tts-250m-v0.2-MLX-8bit --text "Describe this image."
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Model size
0.6B params
Tensor type
U32
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F16 ·
Hardware compatibility
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8-bit
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Marvis-AI/marvis-tts-250m-v0.2-MLX-8bit")