initial release

README.md

@@ -0,0 +1,26 @@
+---
+language:
+- "lzh"
+tags:
+- "classical chinese"
+- "literary chinese"
+- "ancient chinese"
+license: "apache-2.0"
+pipeline_tag: "fill-mask"
+widget:
+- text: "孟子[MASK]梁惠王"
+---
+
+# roberta-classical-chinese-base-char
+
+## Model Description
+
+This is a RoBERTa model pre-trained on Classical Chinese texts, derived from [GuwenBERT-base](https://huggingface.co/ethanyt/guwenbert-base). Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `roberta-classical-chinese-base-char` for downstream tasks, such as sentencization, POS-tagging, dependency-parsing, and so on.
+
+## How to Use
+
+```py
+from transformers import AutoTokenizer,AutoModel
+tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char")
+model=AutoModel.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char")
+```