Instructions to use hf-internal-testing/tiny-random-FocalNetBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FocalNetBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, FocalNetBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-FocalNetBackbone") model = FocalNetBackbone.from_pretrained("hf-internal-testing/tiny-random-FocalNetBackbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee1c9f5baff6ae14aec2ed6cb22cf0d5b60ed7a9b6cdcf228bae8cf5b65d613
- Size of remote file:
- 302 kB
- SHA256:
- 6c4284250d872e7bb4d6d0258858863116f8bf0a46594f921354381ceec4de43
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