Instructions to use polejowska/swin-tiny-patch4-window7-224-eurosat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polejowska/swin-tiny-patch4-window7-224-eurosat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="polejowska/swin-tiny-patch4-window7-224-eurosat") 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("polejowska/swin-tiny-patch4-window7-224-eurosat") model = AutoModelForImageClassification.from_pretrained("polejowska/swin-tiny-patch4-window7-224-eurosat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc706f3701369042d0fdbaffcd070a0f3112df1dc7c55123ff4583429cdfac4d
- Size of remote file:
- 110 MB
- SHA256:
- ce3e3b4d096b19891932326fa7acc214cbf3a3afeb8eae197f96e37343a4cf1f
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