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:
- 40146611bfc065fdfb56c308d4ee63fced6623a49b36e4a354f765cb0dc8d5bb
- Size of remote file:
- 3.11 MB
- SHA256:
- 2e3becf1b2263dd71db41deae6ac82c93ca03a0f3b6aecb173a46211c06b9e4e
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