Time Series Forecasting
Transformers
PyTorch
patchtst
Generated from Trainer
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
Instructions to use ibm-research/patchtst-etth1-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/patchtst-etth1-pretrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PatchTSTForMaskPretraining tokenizer = AutoTokenizer.from_pretrained("ibm-research/patchtst-etth1-pretrain") model = PatchTSTForMaskPretraining.from_pretrained("ibm-research/patchtst-etth1-pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Verified signature- Add model card (3ab7acdccbc470523b41303031d6584c75c40845) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>57adb20
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