Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForXVector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForXVector with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForXVector") model = AutoModelForAudioXVector.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForXVector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36336a9696be7a0defe5d8f6d328ff8e990ce56f850034e7bbed42ab4a2c51c7
- Size of remote file:
- 176 kB
- SHA256:
- 10a26b8747de615155e45a7add2aa6a993ebf25f73c628940ecd8d6ed6cd5e10
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