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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 418 Bytes
637fd61 14a4288 607c494 637fd61 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"num_classes": 2,
"gamma": 0.032606396652426956,
"lr": 0.008692971067922545,
"weight_decay": 0.00008348389688708425,
"batch_size": 23,
"num_channels": 61,
"stochastic_depth_prob": 0.003581930052432713,
"dropout": 0.027804120950575217,
"width_mult": 1.060782511229692,
"depth_mult": 0.7752918857163054,
"size": "v2_s",
"model_type": "efficientnet_61_planet_detection"
} |