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
| { | |
| "loss": [ | |
| 68905.59375, | |
| 68852.5625, | |
| 68831.8828125, | |
| 68824.40625, | |
| 68817.7109375, | |
| 68818.6015625, | |
| 68813.734375, | |
| 68810.15625, | |
| 68813.90625, | |
| 68815.8828125 | |
| ] | |
| } |