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:
- b01dad8f20a1a092f33d806dccb45ca184558f2fd0442fcccf81d0228a39500b
- Size of remote file:
- 302 kB
- SHA256:
- 4500a9c797e25d5786ecc006c3f7ac71d84fd5511ea15cc5dc20e7ec51292a13
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