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:
- 486243bcbcdacbc8a4c80d1f3e59a6d9696b5be081241ccf618678569d5f8c1c
- Size of remote file:
- 3.11 MB
- SHA256:
- dddc30a9f1d138096ef7da4211ecdce1225043b5fd6ec2746163b248777023eb
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