Graph Machine Learning
Keras
English
graph-machine-learning
gnn
k3-node
keras-3
multi-backend
node-classification
Instructions to use anasrz/cora-node-gcn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use anasrz/cora-node-gcn 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://anasrz/cora-node-gcn") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from anasrz/cora-node-gcn: direct link, hf CLI and curl.
- Browser
- Download file 582 kB
-
https://huggingface.co/anasrz/cora-node-gcn/resolve/main/model.weights.h5
- Command line
-
hf download hf://anasrz/cora-node-gcn/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/anasrz/cora-node-gcn/resolve/main/model.weights.h5
582 kB
- Xet hash:
- 878f2f76b969e84f09929d13d1e9ed5f2199486779d8d3ce8376ee1c9c8d27cd
- Size of remote file:
- 582 kB
- SHA256:
- 1bf6ec480854712dd6f46485c263fcb87c7f28e8504eb1bcfe34dd31f7aaab43
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