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
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.7600896954536438
f1_macro: 0.7928317915744385
f1_micro: 0.8
f1_weighted: 0.7950639659547567
precision_macro: 0.8270631590631591
precision_micro: 0.8
precision_weighted: 0.8263885067573592
recall_macro: 0.7959880952380952
recall_micro: 0.8
recall_weighted: 0.8
accuracy: 0.8
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Model tree for darklorddad/Model-Swin-Tiny-Eurosat-80
Base model
microsoft/swin-tiny-patch4-window7-224