Instructions to use hf-tiny-model-private/tiny-random-ViTForMaskedImageModeling 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-ViTForMaskedImageModeling with Transformers:
# Load model directly from transformers import AutoImageProcessor, ViTForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViTForMaskedImageModeling") model = ViTForMaskedImageModeling.from_pretrained("hf-tiny-model-private/tiny-random-ViTForMaskedImageModeling") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
a24c93d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e7e1027f1f3b8ead4d49b54eac7b3013e66bb351c7c28f3d67ba8861e363c462
size 196732
|