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:
- ffe82a281e53489d3565a09c9a7219a01c0d542aab76083e3c5c3e8e804cbf9f
- Size of remote file:
- 118 kB
- SHA256:
- bf7e3dfc817ca2206443f1dbc4c6ebdec5456d657d88f16d53b34de260e13003
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