Instructions to use facebook/convnext-base-224-22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-224-22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-224-22k") 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-224-22k") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-224-22k") - Inference
- Notebooks
- Google Colab
- Kaggle
Add model
Browse files- config.json +0 -0
- pytorch_model.bin +3 -0
config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3886cc2bf4ad337b5d36bf29382557412a1327d5f0345cf6d6bfda2b6257b7a
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size 439940881
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