Instructions to use Expendadeur/agro-bio-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Expendadeur/agro-bio-models with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Expendadeur/agro-bio-models") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload disease_kb.json with huggingface_hub
Verified signature432c8a4 -
Upload online_weights.json with huggingface_hub
Verified signaturebd5335b -
Upload labels.json with huggingface_hub
Verified signaturee3a4cb6 -
Upload online_convnextbase.keras with huggingface_hub
Verified signature0601e88 -
Upload online_resnet50.keras with huggingface_hub
Verified signature37cf3aa -
Upload online_mobilenetv3l.keras with huggingface_hub
Verified signaturea62216a -
Upload online_efficientnetv2m.keras with huggingface_hub
Verified signature8f670c9 -
initial commit
Verified signatureba3fbef