dependency-parsing

README.md

@@ -18,7 +18,7 @@ widget:
 
 ## Model Description
 
-This is a GPT-2 model for POS-tagging, derived from [gpt2-base-japanese-v2](https://huggingface.co/ClassCat/gpt2-base-japanese-v2). Every short-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).
+This is a GPT-2 model for POS-tagging and dependency-parsing, derived from [gpt2-base-japanese-v2](https://huggingface.co/ClassCat/gpt2-base-japanese-v2). Every short-unit-word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).
 
 ## How to Use
 
@@ -28,3 +28,15 @@ nlp=pipeline("upos","KoichiYasuoka/gpt2-base-japanese-upos",trust_remote_code=Tr
 print(nlp("国境の長いトンネルを抜けると雪国であった。"))
 ```
 
+or
+
+```py
+import esupar
+nlp=esupar.load("KoichiYasuoka/gpt2-base-japanese-upos")
+print(nlp("国境の長いトンネルを抜けると雪国であった。"))
+```
+
+## See Also
+
+[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
+