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:
- a909db1980d1496b24c165e6d4812b601a822f5bd3d1f4e4173c06a6b6e134e3
- Size of remote file:
- 230 kB
- SHA256:
- 6798fb58832f6a01cbb234a230b57426861e9b38efe76e887093047331e73d42
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