# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("darklorddad/Model-Swin-Tiny-78")
model = AutoModelForImageClassification.from_pretrained("darklorddad/Model-Swin-Tiny-78")Quick Links
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.7968999147415161
f1_macro: 0.7757715160656338
f1_micro: 0.7844262295081967
f1_weighted: 0.779143908165123
precision_macro: 0.8028276290702762
precision_micro: 0.7844262295081967
precision_weighted: 0.8051517111678635
recall_macro: 0.7802916666666665
recall_micro: 0.7844262295081967
recall_weighted: 0.7844262295081967
accuracy: 0.7844262295081967
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Model tree for darklorddad/Model-Swin-Tiny-78
Base model
microsoft/swin-tiny-patch4-window7-224
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="darklorddad/Model-Swin-Tiny-78") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")