Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a413993f1a32469d621d2e2262613b0bce82f8099dd7576aa9d9667f20e0cad
- Size of remote file:
- 134 kB
- SHA256:
- 3b3dc7bd02f3526a8079fbb47de9a09684564dcfc596ed7247d8c153d84fafeb
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