Instructions to use facebook/convnext-base-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-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-base-384") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-384") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 805ed9dcc4f63f36972e3403713329328c78389fe18b8bcb2f8b22315f8c4621
- Size of remote file:
- 355 MB
- SHA256:
- afd5917d20b157575eb4c88426d67c0cc66b1c73ac365c22d4f279d7e36cbc1b
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