Instructions to use myshell-ai/MeloTTS-Spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myshell-ai/MeloTTS-Spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="myshell-ai/MeloTTS-Spanish")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("myshell-ai/MeloTTS-Spanish", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Multilingual model — testing for mobile deployment
#4
by 3morixd - opened
This model covers Telugu, Korean, Turkish, Italian — exactly what we need for global mobile AI.
At Dispatch AI (FZE, UAE), we're building mobile AI that works for everyone. We benchmark multilingual models on our 40-phone farm (Snapdragon 865) to check quality retention across languages after 4-bit quantization.
Would love to see multilingual eval at different quantization levels.
- Dispatch AI (FZE), Sharjah UAE