Instructions to use facebook/convnextv2-tiny-1k-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-tiny-1k-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-tiny-1k-224") 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/convnextv2-tiny-1k-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-tiny-1k-224") - Inference
- Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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"zucchini, courgette": 939
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-06,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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"zucchini, courgette": 939
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},
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"layer_norm_eps": 1e-12,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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