save embedding
The save embedding command saves trained model embeddings and their vocabulary to a vector table. The saved weights may be used as pretrained embeddings while training a downstream model or may be defined as dataset features from the vector database source using functions such as top-k nearest.
Syntax
Parameters
Parameter
Description
<model name>
The name of the ML model
<run id>
The specific training run identifier
<vector table name>
The vector database table name in which to store the embeddings and vocabulary
Example
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