Instructions to use facebook/mms-tts-kff-script_telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-kff-script_telugu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-kff-script_telugu")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-kff-script_telugu") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-kff-script_telugu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03e20da8a4550b1aa3d0738bd2b6ddbfaeb7350a5d95cafb1578d6ede28f3f51
- Size of remote file:
- 145 MB
- SHA256:
- 207c25380727df5cc076fffa4e1ab21e1703e1990db6a5e972f40ff2c02effd1
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