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