Instructions to use Owos/tb-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Owos/tb-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Owos/tb-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import InceptinV3ForImageClassification model = InceptinV3ForImageClassification.from_pretrained("Owos/tb-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# Tuberculosis Classifier
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[Github repo is here](https://github.com/owos/tb_project)
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# Model description
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This is a computer vision model that was built with TensorFlow to classify if a given x-ray scan is positive for Tuberculosis or not.
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# Tuberculosis Classifier
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[Github repo is here](https://github.com/owos/tb_project)
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[HuggingFace Space](https://huggingface.co/spaces/Owos/tb_prediction_space)
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# Model description
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This is a computer vision model that was built with TensorFlow to classify if a given x-ray scan is positive for Tuberculosis or not.
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