Instructions to use facebook/mms-tts-bps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-bps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-bps")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-bps") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-bps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
3ff31e0 -
Upload model
132300c -
Upload model
afe9307 -
Upload tokenizer
5ddab8b -
initial commit
Sanchit Gandhib00e618