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:
- ca40935a6ebf4de84d35302c3cfe2272bb9babaccd075bb5bf540caa4086c7df
- Size of remote file:
- 81.7 MB
- SHA256:
- b6f961601a2e2c31ec71ab8464ea68447459d8adf7cb60d39b453c6b5eccb22d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.