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Moirai Moe 1.0 R Small

Developed by Salesforce
A PyTorch-based pretrained model for time series forecasting, suitable for various time series data analysis tasks
Downloads 130.92k
Release Time : 11/1/2024

Model Overview

This model is a base model for time series forecasting, primarily used for processing various time series data prediction and analysis tasks. Integrated via PytorchModelHubMixin for easy deployment and usage on the HuggingFace Hub platform.

Model Features

Pretrained Model
Provides a pretrained base model, reducing user training time and computational resource consumption
PyTorch Integration
Integrated via PytorchModelHubMixin for easy deployment and usage on the HuggingFace Hub platform
Academic Research Support
Designed specifically for academic research purposes, supporting time series forecasting-related studies

Model Capabilities

Time Series Forecasting
Time Series Data Analysis
Multi-step Forecasting

Use Cases

Academic Research
Time Series Forecasting Research
Can be used for research on time series forecasting algorithms and methods
Business Analysis
Sales Forecasting
Predict future sales trends
Stock Price Prediction
Predict stock price trends
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