NeoQuasar/WindFM-Tokenizer-robust

🤗 Hugging Face 来源time-series-forecastingmit4M 参数16 MBsafetensors✓ 1 个校验和今天更新

一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo NeoQuasar/WindFM-Tokenizer-robust ./model-folder

WindFM-Tokenizer-robust

This repository contains the model weights for WindFM-Tokenizer-robust.

Regarding how to use this model, please refer to this GitHub repository.

The model supports prediction when some covariates are missing. When a covariate is missing, set all values of that variable to 0.