Instructions to use facebook/convnext-tiny-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-tiny-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-tiny-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/convnext-tiny-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-tiny-224") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a73264dd75d09ab7385832e60a2e0d27fbd37b53b55a5ce1dab29a3e1efb883a
- Size of remote file:
- 115 MB
- SHA256:
- ca16c95c57135ce6883ed57ee168f5cceb054a54b8fb8945033b8343268aa7e5
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