Instructions to use fashxp/cars-countries-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fashxp/cars-countries-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fashxp/cars-countries-2") 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("fashxp/cars-countries-2") model = AutoModelForImageClassification.from_pretrained("fashxp/cars-countries-2") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metricsg
loss: 0.7695896625518799
f1_macro: 0.6246525462930008
f1_micro: 0.7667984189723321
f1_weighted: 0.7486990681361966
precision_macro: 0.6264646464646464
precision_micro: 0.766798418972332
precision_weighted: 0.7372225929538182
recall_macro: 0.6284365875018805
recall_micro: 0.766798418972332
recall_weighted: 0.766798418972332
accuracy: 0.766798418972332
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