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:
- 9b6fa7d7f6b6d766e84c6acb4261fa35556f563ee75a338d50d75b33aa66aa2b
- Size of remote file:
- 118 kB
- SHA256:
- 6fa566cd73a0b920814b784027009f0f9c39073b042ff09e2bd3fbbedb250541
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