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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acb54e62ef760d9c46cf330605fceb611b8bef6a4a7305f27aadf5f51a018f0b
- Size of remote file:
- 44.9 MB
- SHA256:
- df56ef3742d15e9b729ade336a3d151c1e4a3697f31983de92b83ae5edde6fcb
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