Instructions to use SoulPerforms/Butterfly_image_classification_resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoulPerforms/Butterfly_image_classification_resnet18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SoulPerforms/Butterfly_image_classification_resnet18") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SoulPerforms/Butterfly_image_classification_resnet18", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
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config.json
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{
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"model_name": "
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"architecture": "resnet18",
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"num_classes": 10,
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"input_size": [3, 224, 224],
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{
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"model_name": "SoulPerforms/Butterfly_image_classification_resnet18",
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"architecture": "resnet18",
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"num_classes": 10,
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"input_size": [3, 224, 224],
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