Instructions to use hf-tiny-model-private/tiny-random-UniSpeechSatForPreTraining 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-UniSpeechSatForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f682106245692ab293e51656e6e0085868139c559fbb679c40543de08df84670
- Size of remote file:
- 1.32 MB
- SHA256:
- 6f666aca6c6bd058a17ee28f54214aeb64ac4005323267976b78a86edbaced51
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