Instructions to use facebook/mms-tts-uig-script_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-uig-script_arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-uig-script_arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-uig-script_arabic") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-uig-script_arabic") - Notebooks
- Google Colab
- Kaggle
Upload preprocessor_config.json
#2 opened over 1 year ago
by
hosa565
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
3
#1 opened almost 2 years ago
by
aiyaqingzheng