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:
- d67d85dd420ba386455a14e7c41a916ee81c2de6a857c32bdb2648a1828c12f2
- Size of remote file:
- 118 kB
- SHA256:
- 315524b16d0baff4e356aa6cf5d3a8e2951ba4fa943b4c6e08c7ec69f31ed8c6
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