Update README.md

README.md

@@ -1,3 +1,27 @@
 ---
 license: mit
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+Please following paper's format to use this model.
+
+input: SPRiNGSと最も仲の良いライバルグループ。
+<社会><文芸><学問><技術><自然>
+固有表現抽出
+
+output: <社会>固有表現抽出:その他の組織名;SPRiNGS
+
+generated_ids = model.generate(inputs, max_new_tokens=2000) #Don't need any other set, just max new tokens.
+
+
+
+paper cite:
+https://arxiv.org/abs/2311.06838
+
+bib: 
+@misc{gan2023giellm,
+      title={GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect}, 
+      author={Chengguang Gan and Qinghao Zhang and Tatsunori Mori},
+      year={2023},
+      eprint={2311.06838},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}