Instructions to use hf-internal-testing/tiny-random-UniSpeechForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-UniSpeechForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbef64ec87d300573a9fe23048ea8d05e4fc14a9382492a2d5967bd1d9c3d5df
- Size of remote file:
- 833 kB
- SHA256:
- 0b0cdfa7bdf2f6f30fba3b5c76e3fbaaf469065216c8fd7fb1e620eab838f901
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