Add missing metadata: `pipeline_tag`, `library_name`, and `license`

This PR adds the missing `pipeline_tag`, `library_name`, and `license` to the model card metadata. The `pipeline_tag` is set to `text-classification`, which reflects the model's function of classifying text segments as hallucinations or not. The license is retrieved from the Github page. This improved metadata enhances the model's discoverability and provides essential information for users.

README.md

@@ -1,3 +1,12 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-classification
+tags:
+- hallucination-detection
+- text-classification
+---
+
 # ANAH: Analytical Annotation of Hallucinations in Large Language Models
 
 [![arXiv](https://img.shields.io/badge/arXiv-2312.14033-b31b1b.svg)](https://arxiv.org/abs/2405.20315)
@@ -14,8 +23,12 @@ You have to follow the prompt in [our paper](https://arxiv.org/abs/2405.20315) t
 The models follow the conversation format of InternLM2-chat, with the template protocol as:
 
 ```python
-dict(role='user', begin='<|im_start|>user\n', end='<|im_end|>\n'),
-dict(role='assistant', begin='<|im_start|>assistant\n', end='<|im_end|>\n'),
+dict(role='user', begin='<|im_start|>user
+', end='<|im_end|>
+'),
+dict(role='assistant', begin='<|im_start|>assistant
+', end='<|im_end|>
+'),
 ```
 
 ## 🖊️ Citation
@@ -28,4 +41,4 @@ If you find this project useful in your research, please consider citing:
   journal={arXiv preprint arXiv:2405.20315},
   year={2024}
 }
-```
+```