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:
- 7c435246ac213ce79aa362979d1c41a4f24ea8457e0dcbf88232077a2d0891a8
- Size of remote file:
- 134 kB
- SHA256:
- 2afcdd1353bd36afbca3f4529dc066c6151007dff0cb61ef3b94fbe81f9caeae
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