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:
- fc0fa4bdce985b22364e0f7538e37a2cffde8d1cae4b1f45aad7a8052d825e62
- Size of remote file:
- 118 kB
- SHA256:
- 7a4513d05e8a01cb3d4b788e5ac032740d5f47b08b61d71be8b88694b9c0dad5
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