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Datasaur Dinamic
Datasaur Dinamic enables you to label data and train a model natively within Datasaur.
Introduction
Datasaur Dinamic lets you train and deploy models directly from your labeled data. It integrates with Amazon SageMaker and Hugging Face AutoTrain to support automated model training workflows.
Key features
Datasaur Dinamic provides several benefits:
Automated model training: Streamline the process of training machine learning models using labeled data.
Efficient labeling: Use the trained models for ML-assisted labeling, improving the efficiency and accuracy of future labeling tasks.
Integration with applications: Deploy the trained models directly into applications, enhancing functionality with precise data insights.
Supported service providers
To use Datasaur Dinamic effectively, ensure the dataset contains at least 10 labeled rows or sentences.
