Add library_name and improve external project links

README.md

@@ -1,24 +1,31 @@
 ---
-license: mit
-language:
-- as
 base_model:
 - google/muril-large-cased
-pipeline_tag: token-classification
-tags:
-- NER
-- Named_Entity_Recognition
-pretty_name: CLASSER Assamese MuRIL
 datasets:
 - prachuryyaIITG/CLASSER
+language:
+- as
+license: mit
 metrics:
 - f1
 - precision
 - recall
+pipeline_tag: token-classification
+tags:
+- NER
+- Named_Entity_Recognition
+pretty_name: CLASSER Assamese MuRIL
+library_name: transformers
 ---
 
 **MuRIL is fine-tuned on Assamese [CLASSER](https://huggingface.co/datasets/prachuryyaIITG/CLASSER) dataset for Fine-grained Named Entity Recognition.**
 
+This model is part of the **AWED-FiNER** project, which provides fine-grained NER solutions across 36 languages. 
+
+- **Paper:** [AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers](https://huggingface.co/papers/2601.10161)
+- **GitHub:** https://github.com/PrachuryyaKaushik/AWED-FiNER
+- **Interactive Demo:** [AWED-FiNER Space](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER)
+
 The tagset of [MultiCoNER2](https://huggingface.co/datasets/MultiCoNER/multiconer_v2) is a fine-grained tagset. The fine to coarse level mapping of the tags are as follows:
 
   * Location (LOC) : Facility, OtherLOC, HumanSettlement, Station
@@ -44,8 +51,6 @@ Batch Size: 64 <br>
 [Prachuryya Kaushik](https://www.linkedin.com/in/pkabundant/) <br>
 [Prof. Ashish Anand](https://www.linkedin.com/in/anandashish/)
 
-CLASSER is a part of the [AWED-FiNER collection](https://huggingface.co/collections/prachuryyaIITG/awed-finer). Please check: [**Paper**](https://huggingface.co/papers/2601.10161) | [**Agentic Tool**](https://github.com/PrachuryyaKaushik/AWED-FiNER) | [**Interactive Demo**](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER)
-
 ## Sample Usage
 
 The AWED-FiNER agentic tool can be used to interact with expert models trained using this framework. Below is an example:
@@ -106,8 +111,9 @@ If you use this model, please cite the following papers:
 
 @inproceedings{fetahu2023multiconer,
   title={MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition},
-  author={Fetahu, Besnik and Chen, Zhiyu and Kar, Sudipta and Rokhlenko, Oleg and Malmasi, Shervin},
+  author={Fetahu, Besnik and Chen, Zhiyu and Kar, Sudipta and Oleg and Malmasi, Shervin},
   booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
   pages={2027--2051},
   year={2023}
-}
+}
+```