Instructions to use microsoft/cvt-13-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/cvt-13-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/cvt-13-384") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("microsoft/cvt-13-384") model = AutoModelForImageClassification.from_pretrained("microsoft/cvt-13-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82676fcbbcaa87ae0e2d2d9c702631dba10fea13e9aeeab2aafbc8510b47ee1
- Size of remote file:
- 80.7 MB
- SHA256:
- f051ef65a08966ebe82223a60ede99837b68ea0d295d2e89dd28fcad9be65aba
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