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:
- 9cdede5b1104edb3f168dbac27f28b9c6549e962a3892abcd4a9b8e0e6442d1c
- Size of remote file:
- 3.11 MB
- SHA256:
- ff882ab2b350ab2a060ebb3376ff30c88647d909a507e9cde79fe0524d872f21
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