Instructions to use Delower/MolGemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Delower/MolGemma with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Delower/MolGemma") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a939fc0ff92c9a1cb3554f405bc339d5cd4e73b3a4c35979937ef8ec2b195dd
- Size of remote file:
- 854 MB
- SHA256:
- 0309a50759ffa9b60fb5674d85ce6cbb3189fdd1b22599adf48c85fdaca87d65
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