dongdaxiang commited on
Commit
70da8ff
·
verified ·
1 Parent(s): 391e9f5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -0
README.md CHANGED
@@ -13,6 +13,13 @@ tags:
13
 
14
  Domain Capability Enhancement through Continuous Pre-training | 3B to 70B Parameter Scale | Document Understanding & OCR Enhancement | Chain-of-Thought Reasoning Support
15
 
 
 
 
 
 
 
 
16
  ## Model Description
17
 
18
  Qianfan-VL is a series of general-purpose multimodal large language models enhanced for enterprise-level multimodal applications. The models offer deep optimization for high-frequency scenarios in industrial deployment while maintaining strong general capabilities.
 
13
 
14
  Domain Capability Enhancement through Continuous Pre-training | 3B to 70B Parameter Scale | Document Understanding & OCR Enhancement | Chain-of-Thought Reasoning Support
15
 
16
+ ## 🔗 Quick Links
17
+
18
+ - **Repository**: [💻 GitHub](https://github.com/baidubce/Qianfan-VL)
19
+ - **Models**: [🤗 Hugging Face](https://huggingface.co/baidu) | [🤖 ModelScope](https://modelscope.cn/organization/baidu-qianfan)
20
+ - **Documentation**: [📚 Cookbook](https://github.com/baidubce/qianfan-models-cookbook) | [📝 Technical Report](https://github.com/baidubce/Qianfan-VL/blob/main/docs/qianfan_vl_report_comp.pdf)
21
+ - **Blogs**: [🇨🇳 中文博客](https://baidubce.github.io/Qianfan-VL/) | [🇬🇧 English Blog](https://baidubce.github.io/Qianfan-VL/index_en.html)
22
+
23
  ## Model Description
24
 
25
  Qianfan-VL is a series of general-purpose multimodal large language models enhanced for enterprise-level multimodal applications. The models offer deep optimization for high-frequency scenarios in industrial deployment while maintaining strong general capabilities.