Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use saralameri/whisper-tiny-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saralameri/whisper-tiny-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="saralameri/whisper-tiny-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("saralameri/whisper-tiny-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("saralameri/whisper-tiny-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 527ff0a3408ed39fc92c3163ad8f750bbbcfb0f0b61d4c6ae19dc530d939ec3c
- Size of remote file:
- 151 MB
- SHA256:
- de27abffade1de39fa9f7476c62ec9b2a6c9956267f09cb45410df57d358cc22
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