Datasaur Dinamic

Train and deploy models from your labeled data.

Overview

Datasaur Dinamic lets you train and deploy models directly from your labeled data. The trained model can be used in your applications or as a provider in the ML-assisted labeling extension for future projects. Because the model is trained on your dataset, it can generate more accurate predictions for similar labeling tasks.

Datasaur Dinamic extension with AWS SageMaker

Quick guide

This example uses Datasaur Dinamic to train an NER model with a text-based dataset.

1. Label your dataset manually or using assisted labeling features such as ML-assisted labeling or Predictive labeling.

   
2. Click the gear icon in the extension panel on the right to open the Manage extensions dialog, then enable the Datasaur Dinamic extension.

   
3. Select a service provider in the extension. In this example, use Hugging Face AutoTrain for a span labeling task.

   1. Enter your Hugging Face username from Account settings.

   2. Provide a Hugging Face token or create a new access token.

      

For more information and supported providers, see Datasaur Dinamic.