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:
- cba63fa35a2dd84e0d63bd0639c9c71ae28f8963a05982502331d3e71e345383
- Size of remote file:
- 3.11 MB
- SHA256:
- d056cfa7af4f1e5e30e5413cc3750476d1483f62444ae3785e9fa0874c5e90c4
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