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 training_history.png with huggingface_hub
Browse files- .gitattributes +1 -0
- training_history.png +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
training_history.png filter=lfs diff=lfs merge=lfs -text
|
training_history.png
ADDED
|
Git LFS Details
|