Instructions to use chlab/efficientnet_61_planet_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chlab/efficientnet_61_planet_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chlab/efficientnet_61_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_61_planet_detection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5a0328f0ec02db6fad0f2e93a0d02c81ef82b729033db1ffc54a6aa464798a8
- Size of remote file:
- 81.7 MB
- SHA256:
- 4a9489690da6747fe1bb45afcb2d48d093612265f17b8e662f6ed1d1920aac86
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