Instructions to use darklorddad/Model-Swin-Transformer-88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darklorddad/Model-Swin-Transformer-88 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-Swin-Transformer-88") 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-Transformer-88") model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-Swin-Transformer-88") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.3975684940814972
f1_macro: 0.8860624318491966
f1_micro: 0.8885245901639345
f1_weighted: 0.8860652284338398
precision_macro: 0.9022628066378067
precision_micro: 0.8885245901639345
precision_weighted: 0.901722671681688
recall_macro: 0.8880000000000001
recall_micro: 0.8885245901639345
recall_weighted: 0.8885245901639345
accuracy: 0.8885245901639345
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Model tree for darklorddad/Model-Swin-Transformer-88
Base model
XinWenMonash/swin_transformer