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
| { | |
| "num_classes": 2, | |
| "gamma": 0.04294256770072906, | |
| "lr": 0.010208864616781627, | |
| "weight_decay": 0.00014537466483781656, | |
| "batch_size": 16, | |
| "num_channels": 47, | |
| "stochastic_depth_prob": 0.017760418815821067, | |
| "dropout": 0.039061686292663655, | |
| "width_mult": 0.7540060155156922, | |
| "depth_mult": 0.9378692812212488, | |
| "size": "v2_s" | |
| } |