readme: ---
  language: zh
  tags:
  - roformer
  - pytorch
  - tf2.0
  widget:
  - text: "今天[MASK]很好，我想去公园玩！"
  ---
  ## 介绍
  ### tf版本 
  https://github.com/ZhuiyiTechnology/roformer
  
  ### pytorch版本+tf2.0版本
  https://github.com/JunnYu/RoFormer_pytorch
  
  ## pytorch使用
  ```python
  import torch
  from transformers import RoFormerForMaskedLM, RoFormerTokenizer
  
  text = "今天[MASK]很好，我[MASK]去公园玩。"
  tokenizer = RoFormerTokenizer.from_pretrained("junnyu/roformer_chinese_small")
  pt_model = RoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_small")
  pt_inputs = tokenizer(text, return_tensors="pt")
  with torch.no_grad():
      pt_outputs = pt_model(**pt_inputs).logits[0]
  pt_outputs_sentence = "pytorch: "
  for i, id in enumerate(tokenizer.encode(text)):
      if id == tokenizer.mask_token_id:
          tokens = tokenizer.convert_ids_to_tokens(pt_outputs[i].topk(k=5)[1])
          pt_outputs_sentence += "[" + "||".join(tokens) + "]"
      else:
          pt_outputs_sentence += "".join(
              tokenizer.convert_ids_to_tokens([id], skip_special_tokens=True))
  print(pt_outputs_sentence)
  # pytorch: 今天[天气||心情||感觉||环境||下午]很好，我[要||想||就||可以||去]去公园玩。
  ```
  
  
  ## tensorflow2.0使用
  ```python
  import tensorflow as tf
  from transformers import RoFormerTokenizer, TFRoFormerForMaskedLM
  text = "今天[MASK]很好，我[MASK]去公园玩。"
  tokenizer = RoFormerTokenizer.from_pretrained("junnyu/roformer_chinese_small")
  tf_model = TFRoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_small")
  tf_inputs = tokenizer(text, return_tensors="tf")
  tf_outputs = tf_model(**tf_inputs, training=False).logits[0]
  tf_outputs_sentence = "tf2.0: "
  for i, id in enumerate(tokenizer.encode(text)):
      if id == tokenizer.mask_token_id:
          tokens = tokenizer.convert_ids_to_tokens(
              tf.math.top_k(tf_outputs[i], k=5)[1])
          tf_outputs_sentence += "[" + "||".join(tokens) + "]"
      else:
          tf_outputs_sentence += "".join(
              tokenizer.convert_ids_to_tokens([id], skip_special_tokens=True))
  print(tf_outputs_sentence)
  # tf2.0 今天[天气||心情||感觉||环境||下午]很好，我[要||想||就||可以||去]去公园玩。
  ```
  
  ## 引用
  
  Bibtex：
  
  ```tex
  @misc{su2021roformer,
        title={RoFormer: Enhanced Transformer with Rotary Position Embedding}, 
        author={Jianlin Su and Yu Lu and Shengfeng Pan and Bo Wen and Yunfeng Liu},
        year={2021},
        eprint={2104.09864},
        archivePrefix={arXiv},
        primaryClass={cs.CL}
  }
  ```