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:
- cce6db90b6be3e2b5dc99843de6aa345f0972af46f6576f95dff5bde16444444
- Size of remote file:
- 3.45 kB
- SHA256:
- 94c89c72ff5b595baf0c98a4bf817ab5cfb0528b1e56c1c84862e5f46748faf6
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