Improve model card: add library_name, update paper link and GitHub link (#1)

- Improve model card: add library_name, update paper link and GitHub link (146a124f11a97f3aac980ae18e296a5ce8240a11)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,28 +1,30 @@
 ---
-license: mit
-language:
-- ne
 base_model:
 - google/muril-large-cased
-pipeline_tag: token-classification
-tags:
-- NER
-- Named_Entity_Recognition
-pretty_name: SampurNER Nepali MuRIL
 datasets:
 - prachuryyaIITG/SampurNER
+language:
+- ne
+license: mit
 metrics:
 - f1
 - precision
 - recall
+pipeline_tag: token-classification
+tags:
+- NER
+- Named_Entity_Recognition
+pretty_name: SampurNER Nepali MuRIL
+library_name: transformers
 ---
 
 **MuRIL is fine-tuned on Nepali [SampurNER](https://huggingface.co/datasets/prachuryyaIITG/SampurNER) dataset for Fine-grained Named Entity Recognition. It is created using the [EaMaTa](https://github.com/PrachuryyaKaushik/SampurNER/blob/main/SampurNER_AAAI_extended.pdf) framework, utilizing the [Few-NERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset.** <br>
 
-Read the paper: [SampurNER in AAAI-2026](https://github.com/PrachuryyaKaushik/SampurNER/blob/main/SampurNER_AAAI_extended.pdf)
-
-SampurNER Dataset: [datasets/prachuryyaIITG/SampurNER](https://huggingface.co/datasets/prachuryyaIITG/SampurNER)
+This model is part of the work presented in the 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).
 
+- **Code:** [https://github.com/PrachuryyaKaushik/AWED-FiNER](https://github.com/PrachuryyaKaushik/AWED-FiNER)
+- **Interactive Demo:** [https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER](https://huggingface.co/spaces/prachuryyaIITG/AWED-FiNER)
+- **Dataset:** [prachuryyaIITG/SampurNER](https://huggingface.co/datasets/prachuryyaIITG/SampurNER)
 
 The tagset of [Few-NERD](https://aclanthology.org/2021.acl-long.248.pdf) is a fine-grained tagset. The fine to coarse level mapping of the tags are as follows:
 
@@ -80,14 +82,6 @@ print(result)
 If you use this model, please cite the following papers:
 
 ```bibtex
-@inproceedings{kaushik2026sampurner,
-  title={SampurNER: Fine-grained Named Entity Recognition Dataset for 22 Indian Languages},
-  author={Kaushik, Prachuryya and Anand, Ashish},
-  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
-  volume={40},
-  year={2026}
-}
-
 @misc{kaushik2026awedfineragentswebapplications,
       title={AWED-FiNER: Agents, Web applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers}, 
       author={Prachuryya Kaushik and Ashish Anand},
@@ -98,6 +92,14 @@ If you use this model, please cite the following papers:
       url={https://arxiv.org/abs/2601.10161}, 
 }
 
+@inproceedings{kaushik2026sampurner,
+  title={SampurNER: Fine-grained Named Entity Recognition Dataset for 22 Indian Languages},
+  author={Kaushik, Prachuryya and Anand, Ashish},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={40},
+  year={2026}
+}
+
 @inproceedings{ding-etal-2021-nerd,
     title = "Few-{NERD}: A Few-shot Named Entity Recognition Dataset",
     author = "Ding, Ning and Xu, Guangwei and Chen, Yulin and Wang, Xiaobin and Han, Xu and Xie, Pengjun and Zheng, Haitao and Liu, Zhiyuan",
@@ -109,3 +111,4 @@ If you use this model, please cite the following papers:
     doi = "10.18653/v1/2021.acl-long.248",
     pages = "3198--3213",
 }
+```