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
Download tokenizer.json from itzune/gector-eus-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/itzune/gector-eus-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://itzune/gector-eus-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/itzune/gector-eus-v2/resolve/main/tokenizer.json
3.64 MB
File too large to display, you can check the raw version instead.