Time Series Forecasting
Transformers
PyTorch
Safetensors
patchtsmixer
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
Instructions to use ibm-granite/granite-timeseries-patchtsmixer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-granite/granite-timeseries-patchtsmixer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PatchTSMixerForPrediction tokenizer = AutoTokenizer.from_pretrained("ibm-granite/granite-timeseries-patchtsmixer") model = PatchTSMixerForPrediction.from_pretrained("ibm-granite/granite-timeseries-patchtsmixer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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