Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use saralameri/whisper-small-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saralameri/whisper-small-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="saralameri/whisper-small-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("saralameri/whisper-small-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("saralameri/whisper-small-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3402161a11e7c81a9bd5430da7cbe1ac579b15754a304c7ddab6e7ea1fe88b0
- Size of remote file:
- 967 MB
- SHA256:
- bcb9bbfc198726b02bef4d1e7cd480bb250afa312bc0d696dcc4bdd539379f98
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