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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a431da1bca42b9edb7dd3ce3d7772074197b6079e0d184172bd46efa64e0904e
- Size of remote file:
- 791 MB
- SHA256:
- 78c44f7444331c6fcad5886ca755315e5398ff121f5d25a4a3524f91795651e0
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