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:
- 7f1292e7c1aa2ad58360cd9ecabe46551647942db0041e26581f3f37403b2c87
- Size of remote file:
- 118 kB
- SHA256:
- 67941cf993f3da6cf675e23ed000e17ca433c463616fd7d4dd8d966829f9ccbc
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