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:
- 8be4539dc5e91637aa6e02a1f5750f68d7581637595698009c556157e47a1450
- Size of remote file:
- 118 kB
- SHA256:
- 68d14a2d565bc7c1d8d4e133ce414d37ed16e2941096d0f49c0bca0060cfb386
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