Instructions to use fashxp/cars-countries with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fashxp/cars-countries with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fashxp/cars-countries") 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") model = AutoModelForImageClassification.from_pretrained("fashxp/cars-countries") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metricsg
loss: 1.2113300561904907
f1_macro: 0.35240829346092506
f1_micro: 0.5098039215686274
f1_weighted: 0.43996622572473965
precision_macro: 0.443963963963964
precision_micro: 0.5098039215686274
precision_weighted: 0.5037272566684332
recall_macro: 0.36746031746031743
recall_micro: 0.5098039215686274
recall_weighted: 0.5098039215686274
accuracy: 0.5098039215686274
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