Instructions to use pillIdentifierAI/pillIdentifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pillIdentifierAI/pillIdentifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pillIdentifierAI/pillIdentifier") 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("pillIdentifierAI/pillIdentifier") model = AutoModelForImageClassification.from_pretrained("pillIdentifierAI/pillIdentifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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the model aims to identify images of pill and tablets by automatically extracting features.
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The dataset utilized is from the U.S. Department of Health's Computational Photography Project for Pill Identification (C3PI).
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DISCLAIMER: The accuracy of this model is currently low (<20%). Further training is currently ongoing to improve the accuracy.
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the model aims to identify images of pill and tablets by automatically extracting features.
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The dataset utilized is from the U.S. Department of Health's Computational Photography Project for Pill Identification (C3PI).
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DISCLAIMER: The accuracy of this model is currently low (<20%). Further training is currently ongoing to improve the accuracy.
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Version 2: This version tries to train the pretrained model with only 20 of the most common pills.
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Unfortunately, the accuract of the model is still currently low (<30%).
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