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:
- 8002d043a4dd8df5d8f9366a573dd4c5f38dfc14b2a4cef2c01f666faca00f10
- Size of remote file:
- 102 MB
- SHA256:
- 538088eb169e2789af576fd14666b1802023bfaea3b4ead5958396538e65960b
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