Token Classification
Transformers
Safetensors
Basque
grammatical-error-correction
gector
basque
euskara
seq2edit
error-type-classification
multitask
Instructions to use itzune/gector-eus-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itzune/gector-eus-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="itzune/gector-eus-v2")# pip install -U transformers accelerate # Load model directly from transformers import GECToR model = GECToR.from_pretrained("itzune/gector-eus-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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docs: add base Gemma 4 ablation column to comparison table
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Add CC-BY-SA 4.0 license
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Add model card with v2-mt eval results
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Upload multi-task GECToR v2 checkpoint (correction + type head)
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initial commit
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