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") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
be15f29 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:538088eb169e2789af576fd14666b1802023bfaea3b4ead5958396538e65960b
size 101676741
|