Time Series Forecasting
Transformers
PyTorch
Safetensors
time series
forecasting
classification
anomaly detection
imputation
pretrained models
foundation models
time-series
Instructions to use levidio/MOMENT-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use levidio/MOMENT-1-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("levidio/MOMENT-1-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55e11410a760329b82cc5b6214b724d640484e32aa582383c0779c72ce4a1de8
- Size of remote file:
- 454 MB
- SHA256:
- 23c3d65bbb6dcd323352029e9fbe4ee3a3da0fff55b45ee4e00f38fff4e9bfb9
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