Update README.md

README.md

@@ -11,9 +11,9 @@ We present B2NERD, a cohesive and efficient dataset that can improve LLMs' gener
 Our B2NER models, trained on B2NERD, outperform GPT-4 by 6.8-12.0 F1 points and surpass previous methods in 3 out-of-domain benchmarks across 15 datasets and 6 languages.
 
  - 📖 Paper: [Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](http://arxiv.org/abs/2406.11192)
- - 🎮 Github Repo: https://github.com/UmeanNever/B2NER
+ - 🎮 Github Repo: https://github.com/UmeanNever/B2NER .
  - 📀 Data: See below data section. You can download from here (in "Files and versions" tab) or [Google Drive](https://drive.google.com/file/d/11Wt4RU48i06OruRca2q_MsgpylzNDdjN/view?usp=drive_link).
- - 💾 Model (LoRA Adapters): On the way
+ - 💾 Model (LoRA Adapters): See [7B model](https://huggingface.co/Umean/B2NER-Internlm2.5-7B-LoRA) and [20B model](https://huggingface.co/Umean/B2NER-Internlm2-20B-LoRA). You may refer to the github repo for quick demo usage.
 
 See github repo for more information about data usage and this work.
 
@@ -39,10 +39,8 @@ Below are the datasets statistics and source datasets for `B2NERD` dataset.
 |       | Zh    | 7        | 60    | -     | 14,257  |
 |       | Total | 14       | 145   | -     | 20,723  |
 
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/655c6b1abfb531437a54c0e6/NIQWzYvwRxbMVgJf1KDzL.png)
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/655c6b1abfb531437a54c0e6/9UuY9EuA7R5PvasddMObQ.png)
+<img src="https://cdn-uploads.huggingface.co/production/uploads/655c6b1abfb531437a54c0e6/NIQWzYvwRxbMVgJf1KDzL.png" width="1000"/>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/655c6b1abfb531437a54c0e6/9UuY9EuA7R5PvasddMObQ.png" width="1000"/>
 
 More information can be found in the Appendix of paper.