Model: lang-uk/OmniGEC-Fluency-12B
Author: lang-uk
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, gemma3, any-to-any, GEC, Multilingual, Education, GrammaticalErrorCorrection, Minimal, text2text-generation, conversational, en, cs, et, de, el, is, it, lv, sl, sv, uk, dataset:peterua/OmniGEC-ModelTraining, dataset:lang-uk/Reddit-MultiGEC, dataset:lang-uk/WikiEdits-MultiGEC, base_model:google/gemma-3-12b-it, base_model:finetune:google/gemma-3-12b-it, license:mit, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: google/gemma-3-12b-it
Card metadata: library_name: transformers
tags: GEC, Multilingual, Education, GrammaticalErrorCorrection, Minimal
license: mit
datasets: peterua/OmniGEC-ModelTraining, lang-uk/Reddit-MultiGEC, lang-uk/WikiEdits-MultiGEC
language: en, cs, et, de, el, is, it, lv, sl, sv, uk
base_model: google/gemma-3-12b-it
pipeline_tag: text2text-generation
Likes: 2 | All-time downloads: 75
Created: 2025-04-26 18:29:13