Instructions to use hf-internal-testing/tiny-random-ViTMAEForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViTMAEForPreTraining with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForMultimodalLM processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ViTMAEForPreTraining") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-ViTMAEForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3952e0379ea426dadef18388e846587025294a84fc8dbf92da028f7ba88d11fd
- Size of remote file:
- 102 MB
- SHA256:
- 579c80709cfe131f0d1e420ddebe3568b258f620a39262da981b20ffeeb40d20
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