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:
- 25d038890e956da81598b5e432cdf28b2ac854fa333c6637f45f800a38cd4abb
- Size of remote file:
- 118 kB
- SHA256:
- 147877564cef677b363a7b5d0783a818d0b0c4226a10dba316e3f8474eaa7b92
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