Instructions to use IshanKumar/molecular_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use IshanKumar/molecular_generation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://IshanKumar/molecular_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cc296e599e00e1d676046bd7ffdc8b7141052205be72f74c04da1947722297c
- Size of remote file:
- 395 kB
- SHA256:
- 31c817d70cfa51f8cb439330bd32718d5dddeaf7a5dc3f3b5ff13b0744ffc233
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