Instructions to use hf-tiny-model-private/tiny-random-Swinv2ForMaskedImageModeling 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-Swinv2ForMaskedImageModeling with Transformers:
# Load model directly from transformers import AutoImageProcessor, Swinv2ForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Swinv2ForMaskedImageModeling") model = Swinv2ForMaskedImageModeling.from_pretrained("hf-tiny-model-private/tiny-random-Swinv2ForMaskedImageModeling") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
85d4eb9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c765793a89b95762cf77fddb7b6c2af21e2bb3dbc3fb90e2fa4a87ac911c5520
size 379138
|