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:
# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:402bf42f1a9e872ebba9271da4cb09ff612a4feed75d1d42016ac94b8d2274ed
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size 4821432
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