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AutonLab/MOMENT-1-small

Time Series Forecasting·AutonLab· 703.9K· 7
transformers mit 37.9M params

MOMENT is a family of foundation models for general-purpose time-series analysis. The models in this family (1) serve as a building block for diverse time-series analysis tasks (e.g., forecasting, classification, anomaly detection, and imputation, etc.), (2) are effective out-of-the-box, i.e., with no (or few) task-specific exemplars (enabling e.g., zero-shot forecasting, few-shot classification,

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Model details

Task
Time Series Forecasting
Provider
AutonLab
Framework
transformers
Parameters
37.9M
Size
289 MB
License
mit
Downloads
703.9K
Likes
7
Paper
arXiv:2402.03885
Updated
2025-03-26

About AutonLab/MOMENT-1-small

MOMENT is a family of foundation models for general-purpose time-series analysis. The models in this family (1) serve as a building block for diverse time-series analysis tasks (e.g., forecasting, classification, anomaly detection, and imputation, etc.), (2) are effective out-of-the-box, i.e., with no (or few) task-specific exemplars (enabling e.g., zero-shot forecasting, few-shot classification, etc.), and (3) are tunable using in-distribution and task-specific data to improve performance.

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