Instructions to use hf-internal-testing/tiny-random-PvtV2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtV2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, PvtV2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") model = PvtV2Backbone.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4581d2d615e9ef4349e79a093990c7ade1966a036dc6bf5350a85e11f96f3d0b
- Size of remote file:
- 3.11 MB
- SHA256:
- 0012cb840eab6c31b89d216c8f78f74b217d77a1afb600ca573ef0510618aa84
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