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Test Ttm V1

Developed by ibm-research
TinyTimeMixer (TTM) is a lightweight foundational model for time series forecasting, focused on efficient time series analysis tasks.
Climate Model
Safetensors
Open Source License:Apache-2.0#Lightweight time series forecasting#Pre-trained time series model#Multi-domain time series analysis
Downloads 603
Release Time : 8/16/2024

Model Overview

TTM is a pre-trained foundational model for time series, designed for various time series forecasting tasks with high efficiency and lightweight characteristics.

Model Features

Lightweight design
The model is designed to be lightweight, suitable for resource-constrained environments.
Pre-trained model
As a pre-trained model, it can be directly used for downstream time series tasks or fine-tuned.
Efficient forecasting
Focused on efficient time series forecasting, suitable for real-time or near-real-time applications.

Model Capabilities

Time series forecasting
Time series data analysis
Multi-step forecasting

Use Cases

Finance
Stock price prediction
Predict future stock price trends
IoT
Sensor data analysis
Predict equipment failures or maintenance needs
Retail
Sales forecasting
Predict future product sales volumes
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