# 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")Quick Links
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
# 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")