Instructions to use marcossilva/smiles2vec_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use marcossilva/smiles2vec_test with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://marcossilva/smiles2vec_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6cad2ac8798a15b951638d263252f10c1e03e1a34936a967ca6efd1b6824277
- Size of remote file:
- 3.45 MB
- SHA256:
- 2a369acec6effec8d662898e30320abd537d78108e12b7e0e2016c311356938a
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