Instructions to use hf-tiny-model-private/tiny-random-ViTMAEForPreTraining 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-ViTMAEForPreTraining with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViTMAEForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-ViTMAEForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93855f3c44649ba3b418839941970a210042339958e016624ffce66203de3458
- Size of remote file:
- 102 MB
- SHA256:
- c2766adb7f0cc744c0e9debef98cb967cbfcafb73c384e22ae15fe50d1f3a494
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