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") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +1 -2
config.json
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"transformers_version": "4.36.0",
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"auto_map": {
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"AutoConfig": "model.CheckboxConfig",
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"AutoModelForImageClassification": "model.CheckboxClassifier"
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"AutoImageProcessor": "model.CheckboxImageProcessor"
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}
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}
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"transformers_version": "4.36.0",
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"auto_map": {
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"AutoConfig": "model.CheckboxConfig",
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"AutoModelForImageClassification": "model.CheckboxClassifier"
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}
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}
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