Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use einargizz/whisper_samromur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use einargizz/whisper_samromur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="einargizz/whisper_samromur")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("einargizz/whisper_samromur") model = AutoModelForSpeechSeq2Seq.from_pretrained("einargizz/whisper_samromur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46bd5ecdd7a3ad8190d0ef480f1d85d0e8d147224551682161aef543c9cac162
- Size of remote file:
- 151 MB
- SHA256:
- eac0385108c542fc3a1ae7f5f9c584f409c1727c9aa926b29db9fa1726d635fa
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