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:
- 8ed00fe5baf8a4a429e699a59d4f40910c861a1e850a5a639f1d5a6f6ae6149a
- Size of remote file:
- 118 kB
- SHA256:
- c3ba7c1fb74206b75fbb21cc2b84baeda605ddd8cf1c3e3772d4600625d25ad1
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