Setting up a token classification/NER project using Argilla, GliNER and SpanMarker

​Show a standard workflow for a token classification including zero-shot suggestions and model fine-tuning with Argilla, GliNER and Spanmarker.

• ​​Deploy argilla on Spaces

• ​​Vibe check your dataset

• ​​Configure and create an Argilla dataset

• ​​Add records

• ​​Add zero-shot suggestions with GliNER

• ​​Evaluate model suggestions in Argilla

• ​​Train a SpanMarker model

​​Hope to see all of you guys there and looking forward to your questions and AI use cases.