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:
- a8dffe9fc22b545d49f19c16ebbe5bb08e39f9b2c5f949adca40759ce8fb060a
- Size of remote file:
- 3.11 MB
- SHA256:
- 5195023c4c7ba8f2582c5afffdff18fac7bbf6c44741d179a7688034bd72fb5b
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