Instructions to use facebook/convnext-base-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-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-base-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 221a1a02baa2278e61d5a865a34349e8385d7f51ea485b90ce940cbe33ca2720
- Size of remote file:
- 355 MB
- SHA256:
- 1c7d4db9b0fc83e3cbf5f57a9fd2b301d5a65a3b51b1b78c0af258299b19c479
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