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
Upload README.md
Browse files
README.md
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- robust-speech-event
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datasets:
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- mozilla-foundation/common_voice_8_0
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- hf-asr-leaderboard
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- robust-speech-event
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datasets:
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- mozilla-foundation/common_voice_8_0
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