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:
- 5d7f0140a949636fd4df8412c961461ae367201e4f8bbfa687661a19e262839d
- Size of remote file:
- 302 kB
- SHA256:
- 69aa04c69bb2095a4727eeeb9215b8d45177352712088dd71e4017d8ed0866e9
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