Instructions to use facebook/convnext-xlarge-384-22k-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-xlarge-384-22k-1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-xlarge-384-22k-1k") 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-xlarge-384-22k-1k") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-xlarge-384-22k-1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9ec42c0e3889aeaf1b9a2a72f8b02682cf03c16d8a4394969def017a0de02d1
- Size of remote file:
- 1.4 GB
- SHA256:
- 0c5ace2bc1251769a8eeddbb2a3ecf8ce88c608dfa48d5ebe234aca10635b01c
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