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:
- 6c376130201672370a65d133a5c7cc2b55f4573fa3e25f3881ba9f054c7b436d
- Size of remote file:
- 302 kB
- SHA256:
- f9fef145dce9171ed71f896507b33ba1e8405ed7840e03a79f471a0584f6f04e
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