Instructions to use howdyaendra/xblock-social-screenshots-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdyaendra/xblock-social-screenshots-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howdyaendra/xblock-social-screenshots-4") 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-4") model = AutoModelForImageClassification.from_pretrained("howdyaendra/xblock-social-screenshots-4") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.7649385333061218
f1_macro: 0.4616966462629057
f1_micro: 0.7640776699029127
f1_weighted: 0.7363203004281954
precision_macro: 0.6252686879910994
precision_micro: 0.7640776699029126
precision_weighted: 0.7552425547875681
recall_macro: 0.4119139234072332
recall_micro: 0.7640776699029126
recall_weighted: 0.7640776699029126
accuracy: 0.7640776699029126
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