somosnlp-hackathon-2022/neutral-es
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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")# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("dandrade/mbart-neutralization")
model = AutoModelForSeq2SeqLM.from_pretrained("dandrade/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.
Este modelo ha sido desarrollado para la asignatura de traducción automática del master de procesamiento del lenguaje e inteligencia artificial.
# 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")