Instructions to use Tushansh/ayush-medicinal-plant-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Tushansh/ayush-medicinal-plant-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://Tushansh/ayush-medicinal-plant-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1c6476b9eaaa6095b261c0be74fa5fec5a6b4968477dda0770e96017428ec37
- Size of remote file:
- 87.1 MB
- SHA256:
- f0e8c2bffdf4a4653c394d3bce1bebce2581de422f6e18ff515d7c8474c2bc90
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