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t5-small-grammar-ro-root
BlackKakapo/t5-small-grammar-ro-root
t5-small-grammar-ro-root is a machine learning model from BlackKakapo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 24, 2023
- Updated
- Jul 29, 2023
- SHA
- 13ee8109
Model card
From the Hugging Face model README
Romanian grammar
This model is trained on sentences with words in the root form. To bring the words to a syntactically correct form.
Prefix
grammar: text
How to use
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")
Or
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)
Generate
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)
Output
Aș dori ca să corecteze toate greșelile.
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- ro
- Created
- Mar 24, 2023
- Updated
- Jul 29, 2023