Update README.md

README.md

@@ -1,3 +1,40 @@
 ---
 license: mit
+language:
+- zh
 ---
+
+
+
+|          Model          | STS-B | ATEC | LCQMC | Avg. |
+|:-----------------------:|:-----:|:-----:|:-----:|:-----:|
+|  [hellonlp/promcse-roberta-base-zh(sup)](https://huggingface.co/hellonlp/promcse-roberta-base-zh)  |  83.89| -| -| -|
+
+
+
+
+To use the tool, first install the `promcse` package from [PyPI](https://pypi.org/project/promcse/)
+```bash
+pip install promcse
+```
+
+After installing the package, you can load our model by two lines of code
+```python
+from promcse import PromCSE
+model = PromCSE("hellonlp/promcse-roberta-base-zh", "cls", 10)
+
+```
+
+Then you can use our model for **encoding sentences into embeddings**
+```python
+embeddings = model.encode("武汉是一个美丽的城市。")
+```
+
+**Compute the cosine similarities** between two groups of sentences
+```python
+sentences_a = ['武汉是一个美丽的城市。']
+sentences_b = ['北京是一个美丽的城市。', '北京是一个美丽的城市。']
+similarities = model.similarity(sentences_a, sentences_b)
+```
+
+