Instructions to use joyjitroy/Plant_Seedlings_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use joyjitroy/Plant_Seedlings_Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://joyjitroy/Plant_Seedlings_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 792a5d992e94b8c4264adec9f2bd1379620c91fc5e3e7905d17950ad48877495
- Size of remote file:
- 233 MB
- SHA256:
- 101f6827918a57f8758c37e30523938e1330556366ac8e393259216575b04b08
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