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:
- 38668277b93c3e54275acfaeb3b2dc1bfaecc3a1c98fa8a041f59128e7a353c3
- Size of remote file:
- 118 kB
- SHA256:
- 7d6b6138788c1b32835679af25fea90f9945a91d5e5b8cdc1748afbf34b9b4f0
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