Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use AsemBadr/whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AsemBadr/whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AsemBadr/whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AsemBadr/whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("AsemBadr/whisper-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a4c847f722850f76b4848e1a75217cb5866448c3a4fcc9eefb40eacc0fd45ac
- Size of remote file:
- 5.05 kB
- SHA256:
- 1cb32d357dbb073497724b515902e2cbc4a1490f25fe5409ed040a461061a2d7
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