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
Add model card
#2
by nielsr HF Staff - opened
This PR ensures the model can be viewed at https://huggingface.co/models?pipeline_tag=time-series-forecasting&sort=trending, and is linked to https://huggingface.co/papers/2211.14730.
wmgifford changed pull request status to merged