Instructions to use facebook/convnext-base-224-22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-224-22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-224-22k") 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("facebook/convnext-base-224-22k") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-224-22k") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b36a83c76a3083f4e67ec31dd0c9671cc3d46fa7a38e0470c9629e4fcc70166
- Size of remote file:
- 440 MB
- SHA256:
- c3886cc2bf4ad337b5d36bf29382557412a1327d5f0345cf6d6bfda2b6257b7a
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