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:
- ad97302fba79ebc49c0897956030f616c88010c80aa6a5fb994fe61f6912e7e8
- Size of remote file:
- 261 kB
- SHA256:
- 389fcd5d4b6951e955a96d3d97be441f87ead09fe46219d00e3401a3dbf1b59f
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