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:
- 42cc82e4a7a7940497097ceadedf7034b45f250be64821d389aaf2803205d4d4
- Size of remote file:
- 118 kB
- SHA256:
- 93b8505dd353f42490edb0c6c0597043ae7e9faed5e38d0cfde9c786508f1ba4
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