Instructions to use Ruzindana/cropsense-mobilenetv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ruzindana/cropsense-mobilenetv2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ruzindana/cropsense-mobilenetv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caa0d0b9af059ee086298c6feabe91cdc7b4b8cdbe71cf5d6c6f3a41dcb04d6b
- Size of remote file:
- 14 MB
- SHA256:
- 1ae2b6087aa540a670ba7890a685a0c6f5275dc5ef2e54e2fb5c8955f6d8341e
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