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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 361 Bytes
eccf9f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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"
} |