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:
- 13fca0a3bbf8d0a53b2436df7cd1d8f94426a5b8ce99d58598d421708fd2d8e8
- Size of remote file:
- 118 kB
- SHA256:
- f4a3265e3768318686d9848ed337c34332bcb155ec6e7266691dc9cb16b42761
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