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:
- 1438da3fbc852db6492a0fe14446309ca8988a876d0e5bae34eec0b7e66cbae5
- Size of remote file:
- 118 kB
- SHA256:
- 44aefbc35930edc69f9ef8f637ed19efe8d7bec43537d0cc379ec4c9d94f8935
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