Instructions to use hf-internal-testing/tiny-random-Swinv2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Swinv2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, Swinv2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone") model = Swinv2Backbone.from_pretrained("hf-internal-testing/tiny-random-Swinv2Backbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb3399343f3408362c7fc83d7a15c3bd1e59811e5667f4bcdc5c0fa7db72fc68
- Size of remote file:
- 308 kB
- SHA256:
- a74e3788ca4b2632cf5ebcb8138d566f8eedc827a5e6ce8a848fcd5c261b8509
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