Instructions to use hf-internal-testing/tiny-random-BitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BitBackbone") model = BitBackbone.from_pretrained("hf-internal-testing/tiny-random-BitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c09bcc1bec8a23152f517eeb3960ba8d9bbc802a90745bbed9742694a5fc9960
- Size of remote file:
- 100 kB
- SHA256:
- 747798bc5b4bb8af7401cb9b90657167e4b62bc39aa40c59f7b64ec687cdcc2b
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