Instructions to use dandrade/mbart-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dandrade/mbart-neutralization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="dandrade/mbart-neutralization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dandrade/mbart-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("dandrade/mbart-neutralization") - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- hackathon-pln-es/neutral-es
language:
- es
metrics:
- bleu
- sacrebleu
pipeline_tag: translation
tags:
- mbart-50
mbart-neutralization
mbart-neutralization es un modelo preentrenado Sequence-to-Sequence que utiliza mBART-50. El objectivo es traducir a lenguaje neutral los textos de entrada.
Usos y limitaciones
Este modelo ha sido desarrollado para la asignatura de traducción automática del master de procesamiento del lenguaje e inteligencia artificial.