Time Series Forecasting
Transformers
PyTorch
Safetensors
time series
forecasting
classification
anomaly detection
imputation
pretrained models
foundation models
time-series
Instructions to use AutonLab/MOMENT-1-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutonLab/MOMENT-1-large with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutonLab/MOMENT-1-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -128,7 +128,7 @@ If you use MOMENT please cite our paper:
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@inproceedings{goswami2024moment,
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title={MOMENT: A Family of Open Time-series Foundation Models},
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author={Mononito Goswami and Konrad Szafer and Arjun Choudhry and Yifu Cai and Shuo Li and Artur Dubrawski},
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booktitle={
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year={2024}
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}
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```
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@inproceedings{goswami2024moment,
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title={MOMENT: A Family of Open Time-series Foundation Models},
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author={Mononito Goswami and Konrad Szafer and Arjun Choudhry and Yifu Cai and Shuo Li and Artur Dubrawski},
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+
booktitle={International Conference on Machine Learning},
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year={2024}
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}
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```
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