Instructions to use facebook/convnext-large-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-large-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-large-384") 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-384") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-large-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8e0b6b65fec2d7ca1a430a682a1e01eeafbbeadbc27a6bfc0c8eee68b17e6ec
- Size of remote file:
- 791 MB
- SHA256:
- 9822da58257d22382e50de8b26e1cb08110ecf64a835087dcf3b42fbd1c4e663
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