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:
- 602ce8e15214a3ae46013eac565e1dc5323ba19b19f9f086f00b4675a72dfd6e
- Size of remote file:
- 118 kB
- SHA256:
- ada7ee412d68aed9a201a78b37b7fb705f9309703568036a318bb52413c5ec0e
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