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:
- bdd44cb7ef66e58a84c256ebee55ad8cba54e3d2d696be12954c45ff0a7479a2
- Size of remote file:
- 3.11 MB
- SHA256:
- cf151cb12cda139fd04b4ba011b9e0d8d6b29521d3d53f710f1fd18b511de54f
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