Instructions to use keras-io/timeseries_forecasting_for_weather with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/timeseries_forecasting_for_weather with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/timeseries_forecasting_for_weather") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -15,7 +15,7 @@ Demonstrates timeseries forecasting using a [LSTM model.](https://keras.io/api/l
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* [Yashika Sharma](https://github.com/yashika51)
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* [Kristi Takach](https://github.com/ktakattack)
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* [Falak Shah](https://github.com/falaktheoptimist)
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* [Yashika Sharma](https://github.com/yashika51)
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* [Kristi Takach](https://github.com/ktakattack)
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* [Falak Shah](https://github.com/falaktheoptimist)
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* [Keras Example](https://keras.io/examples/timeseries/timeseries_weather_forecasting/#timeseries-forecasting-for-weather-prediction)
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