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:
- 2f3dd8ee61efe80ced6db30eed617035f987bb813c599b2452ff424448c9b4e2
- Size of remote file:
- 3.11 MB
- SHA256:
- bf0af99fdb451c9654d14a2ce123858f66a7bdbf0de596546d4047d03f214fad
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