Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use cppgohan/swin-tiny-patch4-window7-224-finetuned-eurosat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cppgohan/swin-tiny-patch4-window7-224-finetuned-eurosat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cppgohan/swin-tiny-patch4-window7-224-finetuned-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("cppgohan/swin-tiny-patch4-window7-224-finetuned-eurosat") model = AutoModelForImageClassification.from_pretrained("cppgohan/swin-tiny-patch4-window7-224-finetuned-eurosat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0f4a77861362944c38a0755785dffa44655cc3e2cc79c7fec4ba19d36b6038c
- Size of remote file:
- 4.98 kB
- SHA256:
- 5c72387c77d5a9d13780f36d12084154b3cc54fb536f5adf0863b6643275b59e
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