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-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutonLab/MOMENT-1-small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AutonLab/MOMENT-1-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81407dfd7e389fb6d771a2a84c18cf0ff00e76bc44c3dd76977a0c1bb89b7ff
- Size of remote file:
- 152 MB
- SHA256:
- 785e6c6f57ffa7cac7e2a1fff6369618d49f2f441563ddea76c866231e5aa877
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