Instructions to use microsoft/unispeech-sat-base-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-sd with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-sd") model = AutoModelForAudioFrameClassification.from_pretrained("microsoft/unispeech-sat-base-sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9a9c1919998ea995ccb21d0abefcf236b0e41670d653abe41b1dc5e254445c3
- Size of remote file:
- 378 MB
- SHA256:
- 72bc92cafdcc9de05c315d00363a8a6a89df23243b1c34fdd4465a93b5d19192
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