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:
- dcdae96f38f7680434a38aa91d9ad57d2de2df690318651d510f501ab8432b3a
- Size of remote file:
- 118 kB
- SHA256:
- f71f93e365d2b82cbe40864d3518329628b4069fa5c3fc880438eb8776cf88c1
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