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:
- 83d9a78097ca604ef125463e31dc7910081fed79a3098beda1f2c486dd26939a
- Size of remote file:
- 118 kB
- SHA256:
- 1f93f18d8fe81403ca099a6e69e17a64bbdfad5c7ae06c325d463518f7ad092e
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