HerBERT Polish Onomatopoeia Recognition

This model is a finetuned HerBERT large model (cased) on a sample of 800 sentences containing onomatopoeia from the Mirosław Bańko's Współczesny polski onomatopeikon: ikoniczność w języku (Bańko, 2008). The model allows to detect onomatopoeia in the form of interjections in any given text.

Model Details

Model Description

Developed by Szymon Pindur, Jagiellonian University in Krakow
Model type Token classification
Language(s) (NLP) Polish
Finetuned from model [optional] herbert-large-cased

NSDT 3DConvert

Convert 30+ 3D formats online: GLTF, GLB, GBX, OBJ, DAE, IFC, STEP, STL...

UnrealSynth

Unreal engine based photo realistic synthetic data generator for YOLO.

DreamTexture.js

AI powered 3d texture generation and projection SDK for three.js.