---
language: 
  - zh

license: apache-2.0

tags:
- Roberta
- CWS
- Chinese Word Segmentation
- Chinese

inference: false
---
#### How to use

You can use this model with Transformers *pipeline* for token-classification.

```python
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline

nlp = pipeline("token-classification", model="enpchina/cws_chinese_shunpao_0923", aggregation_strategy="simple")
example = "非兩君之盡心於民事，以實心而行實政， 其能得此，於諸紳士也哉。"
cws_results = nlp(example)
print(cws_results)
print()
tab = [w["word"].replace(" ","") for w in cws_results]
print(tab)
print()
print(" ".join(tab))
```