Instructions to use howdyaendra/xblock-social-screenshots-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdyaendra/xblock-social-screenshots-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howdyaendra/xblock-social-screenshots-3") 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("howdyaendra/xblock-social-screenshots-3") model = AutoModelForImageClassification.from_pretrained("howdyaendra/xblock-social-screenshots-3") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.7544093132019043
f1_macro: 0.34243943617676403
f1_micro: 0.7626506024096386
f1_weighted: 0.7295452326605777
precision_macro: 0.5376629516266399
precision_micro: 0.7626506024096386
precision_weighted: 0.7581766519951105
recall_macro: 0.3164834046818783
recall_micro: 0.7626506024096386
recall_weighted: 0.7626506024096386
accuracy: 0.7626506024096386
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