Instructions to use chlab/efficientnet_75_planet_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chlab/efficientnet_75_planet_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chlab/efficientnet_75_planet_detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chlab/efficientnet_75_planet_detection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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EfficientNet with 75 channels for prediction if a planet is in a protoplanetary disk using kinematic information
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language:
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- Python 3.7+
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license: "afl-3.0"
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tags:
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- image_classification
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- PyTorch
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