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:
- cb6110034cdb6cf7b2e174bf577f458f04b4be5054879f96d8d07f74d0d58f30
- Size of remote file:
- 184 kB
- SHA256:
- 6033f132484e70b65b75c804eb4f1d6f253b408a940ad2bac9aac1d1bd6fe1dc
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