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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c552f4495f665405ce8b823e85304792c963c39b8a8d881011829501cf4bfef
- Size of remote file:
- 176 kB
- SHA256:
- d27cdcd3e2abd9f7e5c1de52bc6e0d11c6bbc85ad9920f20d4bbcdab33567d2e
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