Image Classification
timm
LiteRT
Safetensors
coffee
plant-disease
agriculture
efficientnet
supervised-fine-tuning
Instructions to use ConnorLee08/coffee-leaf-efficientnet-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ConnorLee08/coffee-leaf-efficientnet-b2 with timm:
import timm model = timm.create_model("hf-hub:ConnorLee08/coffee-leaf-efficientnet-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download evaluation/comparison.json from ConnorLee08/coffee-leaf-efficientnet-b2: direct link, hf CLI and curl.
- Browser
- Download file 1.22 MB
-
https://huggingface.co/ConnorLee08/coffee-leaf-efficientnet-b2/resolve/main/evaluation/comparison.json
- Command line
-
hf download hf://ConnorLee08/coffee-leaf-efficientnet-b2/evaluation/comparison.json
-
curl -L -o comparison.json https://huggingface.co/ConnorLee08/coffee-leaf-efficientnet-b2/resolve/main/evaluation/comparison.json
1.22 MB
File too large to display, you can check the raw version instead.