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Token Classification: Eclectic1

A second project focusing on text/string detection & classification; cf. dispatches. It fine-tunes a large language model architecture. Herein, the model depends on a different text tagging scheme, and a different data set; it also focuses on a different set of classes. For more details visit the project's online hub2. The ultimate aim is Token Classification + Syntactic Parsing ↠ Knowledge Graph.

The modelling package, and the supplementary packages, are adaptable components.


In brief

 CommentExpires / Decommissioning
Intelligence Hub Hosts model & data details, and [automatically updated] dynamic model card components. End of November 2025; further developments, updates, cease a brief time hereafter. 1
basic model interface A simple interface for interacting with the last model version; an endless number of interface designs are possible. The classes in focus are art, building, event, geo-political entity, organisation, and weapon.
Repositories Hub Hosts the project's git repositories.
  1. Further developments by external/interested parties will appear elsewhere.











  1. Herein, token classification is the detection and classification of text or strings via fine-tuned large language model architectures. Each model detects and classifies text or strings of vis-à-vis a set of classes. ↩

  2. Decommissioned. ↩