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
| { | |
| "num_classes": 2, | |
| "gamma": 0.029768470449465057, | |
| "lr": 0.008383851744497892, | |
| "weight_decay": 0.000196304392793202, | |
| "batch_size": 32, | |
| "num_channels": 75, | |
| "stochastic_depth_prob": 0.08398410137077088, | |
| "dropout": 0.03351826828687193, | |
| "width_mult": 1.144132674734038, | |
| "depth_mult": 1.2267023928285563, | |
| "size": "v2_s" | |
| } |