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:
- 315745972ac0f86de0a67b190445be708c6624aa74251342f628a06d99b4f0aa
- Size of remote file:
- 3.11 MB
- SHA256:
- fe8dc8545f81c296a886a1fc8e4fe4939390f1ee99fefe5ff881f1c3caa47553
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