Image Classification
Transformers
PyTorch
Safetensors
efficientnet
computer-vision
checkbox-detection
Eval Results (legacy)
Instructions to use wendys-llc/checkbox-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wendys-llc/checkbox-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="wendys-llc/checkbox-classifier") 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("wendys-llc/checkbox-classifier") model = AutoModelForImageClassification.from_pretrained("wendys-llc/checkbox-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4252e4cfc1954d64f7a13ebd378a1d85e67229a4db5b86a84c7c74ee5022ffea
- Size of remote file:
- 84.8 MB
- SHA256:
- 8dfafa3b305ad41bec95c06eea16f9601e21aa57206c2f53f822f4ec2328742a
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