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:
- a3dda72cffc7cfa50f7eb072a6c49d64b4173949546b8607c4af778558a8c9c8
- Size of remote file:
- 3.11 MB
- SHA256:
- 38912c40396ad6794a935c7d53944fa80e5f4631766b59950ccad996c386dc39
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