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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://marcossilva/smiles2vec_test") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from marcossilva/smiles2vec_test: direct link, hf CLI and curl.
- Browser
- Download file 3.45 MB
-
https://huggingface.co/marcossilva/smiles2vec_test/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://marcossilva/smiles2vec_test@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/marcossilva/smiles2vec_test/resolve/refs%2Fpr%2F1/saved_model.pb
3.45 MB
- Xet hash:
- e6cad2ac8798a15b951638d263252f10c1e03e1a34936a967ca6efd1b6824277
- Size of remote file:
- 3.45 MB
- SHA256:
- 2a369acec6effec8d662898e30320abd537d78108e12b7e0e2016c311356938a
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