Instructions to use facebook/mms-tts-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-eng") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-eng") - Notebooks
- Google Colab
- Kaggle
Create preprocessor_config.json
#12
by adityaedy01 - opened
No description provided.
done
Hey @adityaedy01 ! Cross-referencing the issue on the Somali checkpoint where it was explained why we don't need a pre-processor: https://huggingface.co/facebook/mms-tts-som/discussions/1#6661b8bf469d8b46c1a95e7e