dependency-parsing

README.md

@@ -6,6 +6,7 @@ tags:
 - "token-classification"
 - "pos"
 - "wikipedia"
+- "dependency-parsing"
 datasets:
 - "universal_dependencies"
 license: "apache-2.0"
@@ -18,7 +19,7 @@ widget:
 
 ## Model Description
 
-This is a RoBERTa model pre-trained on Thai Wikipedia texts for POS-tagging, derived from [roberta-base-thai-syllable](https://huggingface.co/KoichiYasuoka/roberta-base-thai-syllable). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
+This is a RoBERTa model pre-trained on Thai Wikipedia texts for POS-tagging and dependency-parsing, derived from [roberta-base-thai-syllable](https://huggingface.co/KoichiYasuoka/roberta-base-thai-syllable). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
 
 ## How to Use
 
@@ -33,6 +34,14 @@ p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,retur
 print(list(zip(t,p)))
 ```
 
+or
+
+```
+import esupar
+nlp=esupar.load("KoichiYasuoka/roberta-base-thai-syllable-upos")
+print(nlp("หลายหัวดีกว่าหัวเดียว"))
+```
+
 ## See Also
 
 [esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa models