Instructions to use MythEclipse2737/zeavis-edu-corn-leaf-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MythEclipse2737/zeavis-edu-corn-leaf-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MythEclipse2737/zeavis-edu-corn-leaf-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a24cc90547dac43941d5327bbdbe348de8ee2c84a18a72286509155a35116511
- Size of remote file:
- 2.99 MB
- SHA256:
- 273a8d5a0db1a944e297ee7a8125fd1cde857baf252c93676db8596f8a63b5b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.