Instructions to use facebook/convnext-xlarge-224-22k-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-xlarge-224-22k-1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-xlarge-224-22k-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-224-22k-1k") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-xlarge-224-22k-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 194edee206da421a0af4ebc3578614c56a603840327f23180c86eff885420070
- Size of remote file:
- 1.4 GB
- SHA256:
- 6bbe9bdc449008ff9c37ad32c299fbad2cb833c99988e12159677f00e9067f4c
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