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:
- 8f226b2180ac8a94324af713fdf3a5cc872326cedb5c0236884998b9084a1303
- Size of remote file:
- 3.11 MB
- SHA256:
- 0960a26b31b297d37a56a8dd391d1f8271cdca485d22de55be47f9d2001647f2
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