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:
- 4cdeb1961e592ce9b5b10a424939e51d8f4fa5093e13b48c29332c1991daf712
- Size of remote file:
- 118 kB
- SHA256:
- fb3429ecfaf2c1b714961f2a953896cd5a1c87a73780c4db6c820f8b2835ae09
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