Update README.md

README.md

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----
-license: apache-2.0
----
+---
+language:
+- en
+license: apache-2.0
+datasets:
+- nov3630/Data4RLCoder
+---
+
+# Model Card for RLRetriever
+
+ 
+ 
+# Model Details
+ 
+## Model Description
+RLRetriever is a retriever for repository-level code completion which disregard seemingly useful yet ultimately unhelpful reference code snippets, focusing on those more likely to contribute to accurate code generation.
+ 
+- **Developed by:** Sun Yat-sen University & Huawei Cloud Computing Technologies Co., Ltd. 
+- **Shared by [Optional]:** Hugging Face
+- **Model type:** Feature Engineering
+- **Language(s) (NLP):** en
+- **License:** Apache-2.0
+- **Related Models:**
+  - **Parent Model:** RoBERTa
+- **Resources for more information:**
+    - [Associated Paper](https://arxiv.org/abs/2407.19487)
+
+ 
+# Citation
+ 
+ 
+**BibTeX:**
+```
+@misc{wang2024rlcoderreinforcementlearningrepositorylevel,
+      title={RLCoder: Reinforcement Learning for Repository-Level Code Completion}, 
+      author={Yanlin Wang and Yanli Wang and Daya Guo and Jiachi Chen and Ruikai Zhang and Yuchi Ma and Zibin Zheng},
+      year={2024},
+      eprint={2407.19487},
+      archivePrefix={arXiv},
+      primaryClass={cs.SE},
+      url={https://arxiv.org/abs/2407.19487}, 
+}
+```
+
+ 
+# How to Get Started with the Model
+ 
+Use the code below to get started with the model.
+ 
+<details>
+<summary> Click to expand </summary>
+
+```python
+from transformers import AutoTokenizer, AutoModel
+ 
+tokenizer = AutoTokenizer.from_pretrained("nov3630/RLRetriever")
+ 
+model = AutoModel.from_pretrained("nov3630/RLRetriever")
+ 
+ ```
+</details>