模型:
BlackKakapo/t5-small-grammar-ro-root
This model is trained on sentences with words in the root form. To bring the words to a syntactically correct form.
grammar: text
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackKakapo/t5-small-grammar-ro-root") model = AutoModelForSeq2SeqLM.from_pretrained("BlackKakapo/t5-small-grammar-ro-root")
pip install happytransformer
from happytransformer import TTSettings, HappyTextToText happy_tt_save = HappyTextToText('T5',r"BlackKakapo/t5-small-grammar-ro") beam_settings = TTSettings(num_beams=10, min_length=10, max_length=100)
sent = "As dori ca sa corecteze toate greșelile." prefix = "grammar: " example = prefix + sent result = happy_tt_save.generate_text(example, args=beam_settings) print(result.text)
Aș dori ca să corecteze toate greșelile.