Instructions to use facebook/mms-tts-urd-script_arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-urd-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-urd-script_arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-urd-script_arabic") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-urd-script_arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
439b388 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e7da672f856f8cc23d30075f925ce42ed8015cbdbaccbdc2e1bc137ee43af71a
size 145404082
|