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:
- ebd43218faef23d3fbe5e69c884aeb13e9f86a666c12f400d910dddce54a4ed1
- Size of remote file:
- 118 kB
- SHA256:
- 8aa0e3056d53d38212a4bfcd71df45ed1d479078f4e5a522b1603c195783fef7
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