Instructions to use microsoft/paza-whisper-large-v3-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/paza-whisper-large-v3-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/paza-whisper-large-v3-turbo")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("microsoft/paza-whisper-large-v3-turbo") model = AutoModelForSpeechSeq2Seq.from_pretrained("microsoft/paza-whisper-large-v3-turbo") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a67e52f4d04ee16880b82eb268a8a6d6f17b23c0f3301eb777526981d9dcdc7f
- Size of remote file:
- 185 kB
- SHA256:
- ccf8d63f30573481356e7ed65a9bf9f78288d79eb0b47f819f17c9a6750b6546
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