Update README.md

README.md

@@ -1,3 +1,41 @@
 ---
+language: 
+  - zh
 license: apache-2.0
+
+tags:
+- T5
+- chinese
+- sentencepiece
+
+inference: true
+
+widget:
+- text: "北京有悠久的 <extra_id_0>和 <extra_id_1>。"
+- type: "text-generation"
+
 ---
+# Randeng-T5-77M, one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
+Based on mt5-small, Randeng-T5-77M only retains the vocabulary and embedding corresponding to Chinese and English, and continues to train on the basis of 180G Chinese general pre-training corpus. The pretrain target is span corruption. We pretrain the model based on our [fengshen framework](https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen), use 8 * A100 for 24 hours. 
+
+
+
+## Usage
+```python
+from transformers import T5ForConditionalGeneration, AutoTokenizer
+import torch
+
+tokenizer=AutoTokenizer.from_pretrained('IDEA-CCNL/Randeng-T5-77M', use_fast=false)
+model=T5ForConditionalGeneration.from_pretrained('IDEA-CCNL/Randeng-T5-77M')
+```
+
+## Citation
+If you find the resource is useful, please cite the following website in your paper.
+```
+@misc{Fengshenbang-LM,
+  title={Fengshenbang-LM},
+  author={IDEA-CCNL},
+  year={2022},
+  howpublished={\url{https://github.com/IDEA-CCNL/Fengshenbang-LM}},
+}
+```