Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98518c04ba95ca792718571c1589c93dabfe604f6d74302d1e3f1ee80b3c8088
- Size of remote file:
- 118 kB
- SHA256:
- fcc7a875dda372e84136b9f4beab9216f4bab1705fdf4f05dafc624a7042111d
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