add README

README.md

@@ -0,0 +1,21 @@
+
+## Intended uses & limitations
+
+#### How to use
+
+You can use this model with Transformers *pipeline* for NER.
+
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+from transformers import pipeline
+
+nlp = pipeline("token-classification", model="enpchina/cws_chinese_roberta_shunpao", 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))
+```