Datasaur Dinamic
Train your labeled dataset directly from Datasaur
Last updated
Train your labeled dataset directly from Datasaur
Last updated
Datasaur Dinamic is a solution for you if you want to get the model directly rather than labeled data as an output. This built model can be deployed for your application and also can be used in ML Assisted for your next labeling project. As an ML Assisted provider, this model can return more accurate label because it was trained with your dataset previously.
Let's use Dinamic to train your NER model with text based dataset.
Enable Dinamic: Click 'Manage extension' icon on the right bar and toggle on the Dinamic feature.
Label the Data: Before utilizing Datasaur Dinamic, ensure the data is labeled. This can be done manually or through Datasaur's Assisted Labeling features, such as or .
Deploy the Model: Once labeling is complete, you can start configuring your selected Dinamic providers. In this case, we'll use Hugging Face Auto Train for Span-based tasks. To fill out the configuration, use your Username Account, which you can find in your on Hugging Face. To get the API Token, you can use your existing or create a new access token.
For further details and supported providers, please visit the .