Automatic Speech Recognition
Transformers
PyTorch
Hebrew
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Shiry/Whisper_hebrew_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shiry/Whisper_hebrew_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shiry/Whisper_hebrew_medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shiry/Whisper_hebrew_medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shiry/Whisper_hebrew_medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da79c8e4ac4dd4c9f0e69b022a0cc715272bde92cd2ff7a14a62757dd393a379
- Size of remote file:
- 3.52 kB
- SHA256:
- dd78562575247ab13fea0a27ba776436f8ddcca53623402ac7ffd8f45ea4761a
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