readme: ---
  language:
  - vi
  - ba
  tags:
  - translation
  datasets:
  - custom dataset
  metrics:
  - bleu
  - sacrebleu
  ---
  # How to run the model
  ```python
  from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
  
  model = M2M100ForConditionalGeneration.from_pretrained("transZ/M2M_Vi_Ba")
  tokenizer = M2M100Tokenizer.from_pretrained("transZ/M2M_Vi_Ba")
  tokenizer.src_lang = "vi"
  vi_text = "Hôm nay ba đi chợ."
  encoded_vi = tokenizer(vi_text, return_tensors="pt")
  generated_tokens = model.generate(**encoded_vi, forced_bos_token_id=tokenizer.get_lang_id("ba"))
  translate = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
  print(translate)
  ```