Keras
English
NN-BiLSTM
Climate
SDL-radiation (Surface Downward Longwave Radiation)
NN
BiLSTM
Time-Series
Eval Results (legacy)
Instructions to use Subhajit42/SDL-Prediction-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Subhajit42/SDL-Prediction-Model 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://Subhajit42/SDL-Prediction-Model") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"model_version": "1.0",
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"model_type": "
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"model_description": "A Convolutional Neural Network combined with a Bidirectional LSTM for forecasting surface downward longwave radiation.",
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"model-variation": "r2-0.8204",
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"model_path": "./model.keras",
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{
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"model_version": "1.0",
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"model_type": "NN-BiLSTM",
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"model_description": "A Convolutional Neural Network combined with a Bidirectional LSTM for forecasting surface downward longwave radiation.",
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"model-variation": "r2-0.8204",
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"model_path": "./model.keras",
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