metadata

language:
  - multilingual
  - ar
  - cs
  - de
  - en
  - es
  - et
  - fi
  - fr
  - gu
  - hi
  - it
  - ja
  - kk
  - ko
  - lt
  - lv
  - my
  - ne
  - nl
  - ro
  - ru
  - si
  - tr
  - vi
  - zh
  - af
  - az
  - bn
  - fa
  - he
  - hr
  - id
  - ka
  - km
  - mk
  - ml
  - mn
  - mr
  - pl
  - ps
  - pt
  - sv
  - sw
  - ta
  - te
  - th
  - tl
  - uk
  - ur
  - xh
  - gl
  - sl
license: mit
tags:
  - mbart-50

Knight-errant

Knight-errant is a test style transfer model for knight-errant style.


#inference
from transformers import MBartForConditionalGeneration, MBart50TokenizerFast

model = MBartForConditionalGeneration.from_pretrained("Anonymous-TST/knight-errant-TST-zh")
tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50", src_lang="zh_CN", tgt_lang="zh_CN")

model.cuda()
model.eval()

article_1 = "jinyong: 接下来会发生什么？"
batch = tokenizer(article_1, return_tensors="pt",return_token_type_ids=False, truncation=True, max_length=64, padding=True).to('cuda')
translated_tokens = model.generate(**batch,max_length=64)
decoded = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True,  clean_up_tokenization_spaces=True)
print(decoded)