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
- Xet hash:
- b7e87b8becd5b66c3674fd2f8a466497b0e96225e60b5470f8fc715bda10f725
- Size of remote file:
- 81.7 MB
- SHA256:
- ab12f622c12ae67b0e64f39e745ff6cb77eeaca7a581116bd8ea8d70d32427a1
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