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:
- fbffc86b886ca1ed112740505ee5f2d1d58e1f0a32d9c601799f8fe4aab4b065
- Size of remote file:
- 3.11 MB
- SHA256:
- 8a68b4ca306a532fe8dfe711c8d3c84845cbcd5171349dedb7a779f8539ffe12
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