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:
- 548bb3314403630dbfb9e055bdd8bacf7f53ef8d42b8710842917ac4b6e3fc4b
- Size of remote file:
- 118 kB
- SHA256:
- 5ebb2b1776da003ebb56df54145091009cb5fc30176ae9bf6ffc8a11c7f5fbb9
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