Instructions to use Foxasdf/ArabicTextToSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Foxasdf/ArabicTextToSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Foxasdf/ArabicTextToSpeech")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Foxasdf/ArabicTextToSpeech") model = AutoModelForCTC.from_pretrained("Foxasdf/ArabicTextToSpeech") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2800
Browse files
pytorch_model.bin
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runs/Jun21_16-53-30_9de6cb13fb4d/events.out.tfevents.1687367519.9de6cb13fb4d.165.0
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