Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForPreTraining") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa7ef0cfa05339670933a32e7d20230d7b0badd251215d71136e6168a3c0ca41
- Size of remote file:
- 1.32 MB
- SHA256:
- e9e310558e3e839a91793fe619258c579047ff7197a3c1575181a19f601d9cfb
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