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:
- 2e8fcb2995a3b7dd6a8840456d1cab33b6a3bec04701584f65e4c8199008034b
- Size of remote file:
- 114 MB
- SHA256:
- 208663e3fae809abbc5e43e234cfa712776c140f37b9841f26ea03819d769f86
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