Instructions to use microsoft/cvt-21-384-22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/cvt-21-384-22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/cvt-21-384-22k") 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-21-384-22k") model = AutoModelForImageClassification.from_pretrained("microsoft/cvt-21-384-22k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da9dd8994c44140243496bbd9160d2f292283e73b6a942aa158f88ad1f190f74
- Size of remote file:
- 127 MB
- SHA256:
- d5d357f27c7ba7289be8bc15216e1ba4466ac260f23c6aba98d04aa5d2884dea
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