Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use AsemBadr/whisper-small-final-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AsemBadr/whisper-small-final-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AsemBadr/whisper-small-final-v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AsemBadr/whisper-small-final-v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("AsemBadr/whisper-small-final-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 12000
Browse files
model.safetensors
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