Instructions to use Dubverse/MahaTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dubverse/MahaTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Dubverse/MahaTTS")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dubverse/MahaTTS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| import os | |
| from setuptools import setup, find_packages | |
| __version__ = '1.0.0' | |
| cwd = os.path.dirname(os.path.abspath(__file__)) | |
| # requirements = open(os.path.join(cwd, "requirements.txt"), "r").readlines() | |
| setup( | |
| name='maha_tts', | |
| version=__version__, | |
| url='https://github.com/dubverse-ai/MahaTTS/tree/main', | |
| author='Dubverse AI', | |
| author_email='jaskaran@dubverse.ai', | |
| install_requires = [ | |
| 'einops', | |
| 'transformers', | |
| 'unidecode', | |
| 'inflect' | |
| ], | |
| packages=find_packages(), | |
| py_modules=['maha_tts'], | |
| ) |