Instructions to use sriram7737/TRASHPRED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sriram7737/TRASHPRED with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sriram7737/TRASHPRED") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9e277e27ca4bf363d35a93273b66a4ecb3ceff5417dc65a66dd55bd8d5682f5
- Size of remote file:
- 94.4 MB
- SHA256:
- 37721e3405364b5fa964d2c72207ecf7874cff7cc478c546b4a37f0f98888867
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