Automatic Speech Recognition
Transformers
PyTorch
Arabic
wav2vec2
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use bakrianoo/sinai-voice-ar-stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bakrianoo/sinai-voice-ar-stt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bakrianoo/sinai-voice-ar-stt")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bakrianoo/sinai-voice-ar-stt") model = AutoModelForCTC.from_pretrained("bakrianoo/sinai-voice-ar-stt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K