Instructions to use ICFgainAI/Section with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ICFgainAI/Section with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ICFgainAI/Section") - Notebooks
- Google Colab
- Kaggle
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README.md
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dopant_scaler: dopant input scaler used during model construction
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y_scaler: target value scaler to restore model output to original scale
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- **Developed by:** Chenbo Zhang, Tongji University (cbzhang@tongji.edu.cn), Jun Xu, Tongji University (15503@tongji.edu.cn)
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All rights reserved
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dopant_scaler: dopant input scaler used during model construction
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y_scaler: target value scaler to restore model output to original scale
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- **Developed by:** Chenbo Zhang, Tongji University (cbzhang@tongji.edu.cn), Jun Xu, Tongji University (15503@tongji.edu.cn)
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All rights reserved
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