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ibm-research
/
patchtst-etth1-pretrain

Time Series Forecasting
Transformers
PyTorch
patchtst
Generated from Trainer
time series
forecasting
pretrained models
foundation models
time series foundation models
time-series
Model card Files Files and versions
xet
Community
3

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:

    # 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
patchtst-etth1-pretrain
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  • 3 contributors
History: 5 commits
wmgifford's picture
wmgifford
nielsr's picture
nielsr HF Staff
Add model card (#2)
57adb20 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    4.4 kB
    Add model card (#2) over 1 year ago
  • config.json
    1.26 kB
    Upload PatchTSTForMaskPretraining almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    4.85 MB
    xet
    Upload PatchTSTForMaskPretraining almost 3 years ago