Instructions to use howdyaendra/xblock-social-screenshots-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdyaendra/xblock-social-screenshots-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howdyaendra/xblock-social-screenshots-5") 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-5") model = AutoModelForImageClassification.from_pretrained("howdyaendra/xblock-social-screenshots-5") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.2612117528915405
f1_macro: 0.5509939923795275
f1_micro: 0.9278878255063432
f1_weighted: 0.915533252030031
precision_macro: 0.7507175360173887
precision_micro: 0.9278878255063432
precision_weighted: 0.9184859185112592
recall_macro: 0.4872137731200702
recall_micro: 0.9278878255063432
recall_weighted: 0.9278878255063432
accuracy: 0.9278878255063432
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