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autogluon
/
chronos-2-synth

Time Series Forecasting
Chronos
Safetensors
t5
time series
forecasting
foundation models
pretrained models
Model card Files Files and versions
xet
Community

Instructions to use autogluon/chronos-2-synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Chronos

    How to use autogluon/chronos-2-synth with Chronos:

    pip install chronos-forecasting
    import pandas as pd
    from chronos import BaseChronosPipeline
    
    pipeline = BaseChronosPipeline.from_pretrained("autogluon/chronos-2-synth", device_map="cuda")
    
    # Load historical data
    context_df = pd.read_csv("https://autogluon.s3.us-west-2.amazonaws.com/datasets/timeseries/misc/AirPassengers.csv")
    
    # Generate predictions
    pred_df = pipeline.predict_df(
        context_df,
        prediction_length=36,  # Number of steps to forecast
        quantile_levels=[0.1, 0.5, 0.9],  # Quantiles for probabilistic forecast
        id_column="item_id",  # Column identifying different time series
        timestamp_column="Month",  # Column with datetime information
        target="#Passengers",  # Column(s) with time series values to predict
    )
  • Notebooks
  • Google Colab
  • Kaggle
chronos-2-synth
476 MB
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  • 1 contributor
History: 6 commits
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abdulfatir
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  • model.safetensors
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