Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Arabic
wav2vec2
Generated from Trainer
Instructions to use Foxasdf/ArabicSpeechToText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Foxasdf/ArabicSpeechToText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Foxasdf/ArabicSpeechToText")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Foxasdf/ArabicSpeechToText") model = AutoModelForCTC.from_pretrained("Foxasdf/ArabicSpeechToText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600
Browse files
pytorch_model.bin
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training_args.bin
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