Instructions to use howdyaendra/xblock-large-patch1-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howdyaendra/xblock-large-patch1-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howdyaendra/xblock-large-patch1-224") 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-large-patch1-224") model = AutoModelForImageClassification.from_pretrained("howdyaendra/xblock-large-patch1-224") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.9025482535362244
f1_macro: 0.6858654529218409
f1_micro: 0.6716867469879518
f1_weighted: 0.676828467951081
precision_macro: 0.7239086041672248
precision_micro: 0.6716867469879518
precision_weighted: 0.7046011538585282
recall_macro: 0.6707409732185557
recall_micro: 0.6716867469879518
recall_weighted: 0.6716867469879518
accuracy: 0.6716867469879518
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