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This is an LSTM part of ClimateSTRIKE, a high precision ai framework for natural disaster predicition and climate forecasting.
This model is a time series forcaster that predicts the temperature-above-baseline-average on a monthly basis. It simply takes in a single integer of months in the future from January 2025, and will predict the average temperature increase for that month.
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# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/ClimateStrike_ClimateForecast_r1")