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:
- 32137719ecbca00438769163dfcdfcf4c72c85d221a3b1d85906ac3e7ce120fa
- Size of remote file:
- 118 kB
- SHA256:
- e49d7bf11fdbc427dd414e4e776c9d1b321e21aa8818a849f22986daf7fc35c1
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