Instructions to use hf-tiny-model-private/tiny-random-UniSpeechSatForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-UniSpeechSatForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForXVector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7db2d17106646644e5879d05a0214739742588f40ef07272f0e9ed7db20252ca
- Size of remote file:
- 157 kB
- SHA256:
- 6361159a365a0e4d6c0de6c1c2a24b5ef5a4526be858bf5f9e9c7efa6619fc65
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