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:
- e49c5e4b65ea1305bc1ea6eab5853b6516256e47fa6659594b5697b9ee5193bf
- Size of remote file:
- 118 kB
- SHA256:
- b63b25eea08e68173bdbfd3d43787886dbb235d5c4ce2f34352615fb24fce94c
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