Instructions to use chlab/efficientnet_47_planet_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chlab/efficientnet_47_planet_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chlab/efficientnet_47_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_47_planet_detection", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d451ef4027138e74108d7e0a698cb0ee0778e42442abc01e992028e35039ab8
- Size of remote file:
- 81.6 MB
- SHA256:
- 8cce7f65b39852ba428e3a38a4ef561726cb8dd7b209e98be06b25d4696e8371
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