Create README.md

README.md

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+---
+language: zh
+tags:
+- roformer-v2
+- pytorch
+- tf2.0
+---
+## 介绍
+### tf版本 
+https://github.com/ZhuiyiTechnology/roformer
+
+### pytorch版本+tf2.0版本
+https://github.com/JunnYu/RoFormer_pytorch
+
+## pytorch & tf2.0使用
+```python
+import torch
+import tensorflow as tf
+from transformers import BertTokenizer
+from roformer import RoFormerForMaskedLM, TFRoFormerForMaskedLM
+
+text = "今天[MASK]很好，我[MASK]去公园玩。"
+tokenizer = BertTokenizer.from_pretrained("junnyu/roformer_v2_chinese_char_base")
+pt_model = RoFormerForMaskedLM.from_pretrained("junnyu/roformer_v2_chinese_char_base")
+tf_model = TFRoFormerForMaskedLM.from_pretrained(
+    "junnyu/roformer_v2_chinese_char_base", from_pt=True
+)
+pt_inputs = tokenizer(text, return_tensors="pt")
+tf_inputs = tokenizer(text, return_tensors="tf")
+# pytorch
+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)
+# tf
+tf_outputs = tf_model(**tf_inputs, training=False).logits[0]
+tf_outputs_sentence = "tf: "
+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)
+# small
+# pytorch: 今天[的||，||是||很||也]很好，我[要||会||是||想||在]去公园玩。
+# tf: 今天[的||，||是||很||也]很好，我[要||会||是||想||在]去公园玩。
+# base
+# pytorch: 今天[我||天||晴||园||玩]很好，我[想||要||会||就||带]去公园玩。
+# tf: 今天[我||天||晴||园||玩]很好，我[想||要||会||就||带]去公园玩。
+# large
+# pytorch: 今天[天||气||我||空||阳]很好，我[又||想||会||就||爱]去公园玩。
+# tf: 今天[天||气||我||空||阳]很好，我[又||想||会||就||爱]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}
+}
+```