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:
- a922f39aea4a74ef79af24b086bfb30ac084adfe9bb19b4a3acbde6fe2f659c3
- Size of remote file:
- 8.7 MB
- SHA256:
- 117fca33043e8d72bbe99d21b6d5d338bf08e3986fd133000a1810e1d9ca84cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.