Instructions to use facebook/convnextv2-tiny-22k-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-tiny-22k-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-tiny-22k-224") 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("facebook/convnextv2-tiny-22k-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-tiny-22k-224") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9298a8975e46d7a200d6136312ac07a90b5af70b6ca174b56a3c677dcd12e123
- Size of remote file:
- 115 MB
- SHA256:
- e5c2aa493ada512683010d9e8768f9df3ac00ae5f281f0a897c57e889673a15c
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