metadata
license: apache-2.0
language:
- uz
pipeline_tag: text-generation
tags:
- grammar
- uzbek
Uzbek Grammar Correction Model
Ushbu model o'zbek tilidagi matnlarning grammatik xatolarini tuzatish uchun mo'ljallangan.
Muallif (Author)
Ushbu model Davronov Rifqat tomonidan yaratilgan va o'qitilgan.
Model tavsifi
Model rifkat/grammar repozitoriyasidan olingan va Seq2Seq arxitekturasiga asoslangan. U matndagi imlo va grammatik xatolarni avtomatik tahrirlash imkonini beradi.
Foydalanish (Usage)
Modelni ishlatish uchun quyidagi koddan foydalanishingiz mumkin:
from transformers import Text2TextGenerationPipeline, AutoModelForSeq2SeqLM, AutoTokenizer
model_name = "rifkat/grammar"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
pipeline = Text2TextGenerationPipeline(model=model, tokenizer=tokenizer)
text = "SamDUning Kattaqorgon filialining foallar zalida shiftdagi qulagani beton plitaning holati bo‘yicha JKning 258-moddasi bilan jinoyat ishi qo‘zg‘atildi."
result = pipeline(
text,
min_length=10,
max_length=100,
do_sample=False,
early_stopping=False,
num_beams=1,
temperature=1.0,
top_k=50,
no_repeat_ngram_size=0,
top_p=1.0
)
print(result[0]['generated_text'])
Inference parametrlari min_length: 10
max_length: 100
num_beams: 1
do_sample: False