Instructions to use microsoft/cvt-21-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/cvt-21-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/cvt-21-384") 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-21-384") model = AutoModelForImageClassification.from_pretrained("microsoft/cvt-21-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71c2d325fb0b8766709aa1ad3333473ad72b9b3e6ebb858073a05142f11a5ba6
- Size of remote file:
- 127 MB
- SHA256:
- c19b5977814f89e610d6e8e30582586ff02168a7e8dcd7a117aa9fa5a234e051
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