readme: ---
  tags:
  - translation
  - torch==1.8.0
  widget:
  - text: "Inference Unavailable"
  ---
  ### marianmt-th-zh_cn
  * source languages: th
  * target languages: zh_cn
  * dataset: 
  * model: transformer-align
  * pre-processing: normalization + SentencePiece
  * test set scores: 15.53
  
  ## Training
  
  Training scripts from [LalitaDeelert/NLP-ZH_TH-Project](https://github.com/LalitaDeelert/NLP-ZH_TH-Project). Experiments tracked at [cstorm125/marianmt-th-zh_cn](https://wandb.ai/cstorm125/marianmt-th-zh_cn).
  
  ```
  export WANDB_PROJECT=marianmt-th-zh_cn
  python train_model.py --input_fname ../data/v1/Train.csv \\\\\\\\
  \\\\t--output_dir ../models/marianmt-th-zh_cn \\\\\\\\
  \\\\t--source_lang th --target_lang zh \\\\\\\\
  \\\\t--metric_tokenize zh --fp16
  ```
  
  ## Usage
  
  ```
  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
   
  tokenizer = AutoTokenizer.from_pretrained("Lalita/marianmt-zh_cn-th")
  model = AutoModelForSeq2SeqLM.from_pretrained("Lalita/marianmt-zh_cn-th").cpu()
  
  src_text = [
      'ฉันรักคุณ',
      'ฉันอยากกินข้าว',
  ]
  translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
  print([tokenizer.decode(t, skip_special_tokens=True) for t in translated])
  
  > ['我爱你', '我想吃饭。']
  ```
  
  ## Requirements
  ```
  transformers==4.6.0
  torch==1.8.0
  ```