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:
- ba3472e18aab4027b72772baaa6c9883940fc740f7625f3d2ec492e3be442580
- Size of remote file:
- 118 kB
- SHA256:
- c8c46adc70a06f3f8cf065519df17b321e3298d2c211aa3bf11b8c95041bef18
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