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:
- 576b58351405f3d4a32e3010b100c1e4a8a4d4633bc2518d61d728d00a83151d
- Size of remote file:
- 118 kB
- SHA256:
- e5e14df843162fefc25792592cc6f4fc7a866b42cc30d30a6a0dcc80eaf934d6
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