Instructions to use facebook/convnext-large-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-large-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-large-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-large-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-large-224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 863711503df982b1411a2788d87071d9805b994e7f79f7c24ec2347cafdfd649
- Size of remote file:
- 791 MB
- SHA256:
- d0fa55ea55766272823b88a8aefb2e92d8b3b85aef47d013db11b34c7f8ac114
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