From 2de49ccef42ed8ce2f9ae5f05994ff2e4299020f Mon Sep 17 00:00:00 2001
From: yiranyyu <2606375857@qq.com>
Date: Fri, 2 Feb 2024 13:53:06 +0800
Subject: [PATCH] update readme (fix toc link)

---
 README.md    | 8 ++++----
 README_zh.md | 8 ++++----
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 7a90035..f1785bb 100644
--- a/README.md
+++ b/README.md
@@ -35,10 +35,10 @@
 - [Inference](#inference)
   - [Model Zoo](#model-zoo)
   - [Multi-turn Conversation](#multi-turn-conversation)
-- [✅ TODO](#-todo)
+- [TODO](#todo)
 - [Model License](#model-license)
 - [Statement](#statement)
-- [🏫 Institutions](#-institutions)
+- [Institutions](#institutions)
 
 ## OmniLMM-12B
 **OmniLMM-12B** is the most capable version. The model is built based on EVA02-5B and Zephyr-7B-β, connected with a perceiver resampler layer, and trained on multimodal data in a curriculum fashion. The model has three notable features:
@@ -358,7 +358,7 @@ We can obtain the following results:
 ```
 
 
-## ✅ TODO
+## TODO
 
 - [ ] Fine-tuning support
 - [ ] Local Web-UI deployment
@@ -382,7 +382,7 @@ As LMMs, OmniLMMs generate contents by learning a large mount of multimodal corp
 We will not be liable for any problems arising from the use of OmniLMM open source models, including but not limited to data security issues, risk of public opinion, or any risks and problems arising from the misdirection, misuse, dissemination or misuse of the model.
 
 
-## 🏫 Institutions
+## Institutions
 
 This project is developed by the following institutions:
 
diff --git a/README_zh.md b/README_zh.md
index 1d60164..ee28740 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -36,10 +36,10 @@
 - [推理](#推理)
   - [模型库](#模型库)
   - [多轮对话](#多轮对话)
-- [✅ 未来计划](#-未来计划)
+- [未来计划](#未来计划)
 - [模型协议](#模型协议)
 - [声明](#声明)
-- [🏫 机构](#-机构)
+- [机构](#机构)
 
 <!-- /TOC -->
 <!-- /TOC -->
@@ -363,7 +363,7 @@ print(answer)
 ```
 
 
-## ✅ 未来计划
+## 未来计划
 
 - [ ] 支持模型微调
 - [ ] 本地可视化部署
@@ -389,7 +389,7 @@ OmniLMMs 模型权重对学术研究完全开放。
 因此用户在使用 OmniLMMs 生成的内容时，应自行负责对其进行评估和验证。如果由于使用 OmniLMMs 开源模型而导致的任何问题，包括但不限于数据安全问题、公共舆论风险，或模型被误导、滥用、传播或不当利用所带来的任何风险和问题，我们将不承担任何责任。
 
 
-## 🏫 机构
+## 机构
 
 本项目由以下机构共同开发：