Instructions to use microsoft/unispeech-sat-base-plus-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-plus-sd with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-plus-sd") model = AutoModelForAudioFrameClassification.from_pretrained("microsoft/unispeech-sat-base-plus-sd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c575f393a72fd65b73e873ad702d89e0123b8f1d94aa7f40e5e5d1b1345a3e66
- Size of remote file:
- 378 MB
- SHA256:
- fd69c3ce61ee7c06dc99ad997ce3c1296550b2a801a842baf8137210d9a19802
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