Instructions to use facebook/convnext-base-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/convnext-base-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add Core ML conversion
Core ML conversion, task=image-classification, precision=float321bf08bc
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Update README.md
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Create README.md
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Add TF weights; Add image_size to config
Joao Gante17a396b
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Add model
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Add feature extractor
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Add model
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initial commit
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