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-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutonLab/MOMENT-1-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutonLab/MOMENT-1-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aed7fffb05e40938b33e2a417304085f713d67c99ee3e0c63522342faad2d1f
- Size of remote file:
- 454 MB
- SHA256:
- 1a436826ffe618273ec62b9656dc4cab8edc470364f104e90542a4ebc14fb825
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