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:
- 1ce669e7942f598db29e51cc3fec45f41d9a50b927e8f49ae7e898fdadffedf5
- Size of remote file:
- 3.11 MB
- SHA256:
- eab86a638f1c526a7b5ddb835ff679488cba4f02f16a07e9df926b682e0932ac
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