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:
- 4b9541760d1d960c04dc239bbf1cdaca5584a7fa0744cfd3a744e6e79b313500
- Size of remote file:
- 118 kB
- SHA256:
- 54a42f120fbc19ed539562ab3047b118b084c9b618d923298b395ddc05c1f8d0
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