Instructions to use deesdays/autotrain-64ruq-o2rcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deesdays/autotrain-64ruq-o2rcl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="deesdays/autotrain-64ruq-o2rcl") 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("deesdays/autotrain-64ruq-o2rcl") model = AutoModelForImageClassification.from_pretrained("deesdays/autotrain-64ruq-o2rcl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metricsg
loss: 1.7581108808517456
f1_macro: 0.09972600614558977
f1_micro: 0.46016260162601624
f1_weighted: 0.36735514162982336
precision_macro: 0.2245590074608098
precision_micro: 0.46016260162601624
precision_weighted: 0.37657117975119725
recall_macro: 0.1079989150764074
recall_micro: 0.46016260162601624
recall_weighted: 0.46016260162601624
accuracy: 0.46016260162601624
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