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 model.tflite from ConnorLee08/coffee-leaf-efficientnet-b2: direct link, hf CLI and curl.
- Browser
- Download file 8.57 MB
-
https://huggingface.co/ConnorLee08/coffee-leaf-efficientnet-b2/resolve/main/model.tflite
- Command line
-
hf download hf://ConnorLee08/coffee-leaf-efficientnet-b2/model.tflite
-
curl -L -o model.tflite https://huggingface.co/ConnorLee08/coffee-leaf-efficientnet-b2/resolve/main/model.tflite
8.57 MB
- Xet hash:
- fd56f053b2cadc83462af4182a8facfb6b8e628cb41deb71702399df2553457f
- Size of remote file:
- 8.57 MB
- SHA256:
- ddbea87650b839dabb376f32d7e210ccc21a105024de23b3c0abf25fbbe86a01
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