Instructions to use darklorddad/Model-Swin-Tiny-Eurosat-80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darklorddad/Model-Swin-Tiny-Eurosat-80 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-Swin-Tiny-Eurosat-80") 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("darklorddad/Model-Swin-Tiny-Eurosat-80") model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-Swin-Tiny-Eurosat-80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 638b0c1e6f4ceeb4de005260a3535a4996a4f8252b060bcf6acf0b4f01ceb698
- Size of remote file:
- 5.37 kB
- SHA256:
- 25e334169f50d49b9f5d21d85d48532e7d2bb7bb298b08cf7d81e4dd4fef2dc0
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