Instructions to use Swarmed/bee-swarm-id-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Swarmed/bee-swarm-id-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Swarmed/bee-swarm-id-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
This application uses a MultiModalPredictor from the AutoGluon library to classify images of bees. The model is fine-tuned on a curated dataset from inaturalist containting over 70,000 images and achieved an accuracy of 97.5%. The model evaluates the image and predicts whether it contains a honey bee, bumblebee, or a vespidae (wasp, hornet, etc.).
You may interact with this model at https://honeybeeclassification.streamlit.app/
- Developed by: Ian Horvath
- Funded by: The Honey Bee Society
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