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:
- 47e295cae9cb8f6b672cd64f50d870edf50b498926ad14936a0decdaf6bd8adb
- Size of remote file:
- 118 kB
- SHA256:
- da25ef9800ae1ae858441aeb890093ac140466a12b83f2ecb4888b826b084953
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