Model Management

Models are used very similarly to datasets, primarily for storing model files, code that works with model files, etc. Here we focus on introducing some differences from datasets.

Model Creation and Upload

Click the "+" after "New Model" in the left navigation bar, enter the model name and description, and you can create a new model repository.

After the model is created, you can click "Upload Data" on the model page. After data is uploaded, HyperAI will automatically decompress supported compressed packages and synchronize the data within them. The time required for this process varies depending on the size of the data package.

Model upload is consistent with datasets. See documentation at Data Upload.

Type Modification

On the "Model" settings page, you can change the type of the dataset:

After changing it to "Dataset", it will be displayed in the "Dataset" type data warehouse.

Deletion of Model Versions and Entire Model Repository

Same as datasets, see Datasets#Deletion of Data Versions and Entire Dataset.