Add library_name metadata

README.md

@@ -1,15 +1,16 @@
 ---
-license: mit
+base_model:
+- FacebookAI/xlm-roberta-large
 datasets:
 - MultiCoNER/multiconer_v2
 language:
 - fr
+license: mit
+library_name: transformers
 metrics:
 - f1
 - precision
 - recall
-base_model:
-- FacebookAI/xlm-roberta-large
 pipeline_tag: token-classification
 tags:
 - NER
@@ -69,6 +70,16 @@ print(result)
 If you use this model, please cite the following papers:
 
 ```bibtex
+@misc{kaushik2026awedfiner,
+      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},
+      year={2026},
+      eprint={2601.10161},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2601.10161}, 
+}
+
 @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},
@@ -77,15 +88,6 @@ If you use this model, please cite the following papers:
   year={2023}
 }
 
-@misc{kaushik2026awedfiner,
-  title        = {AWED-FiNER: Agents, Web Applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers},
-  author       = {Kaushik, Prachuryya and Anand, Ashish},
-  year         = {2026},
-  note         = {arXiv preprint, submitted},
-  archivePrefix= {arXiv},
-  eprint       = {submit/7163987}
-}
-
 @inproceedings{kaushik2026sampurner,
   title={SampurNER: Fine-grained Named Entity Recognition Dataset for 22 Indian Languages},
   author={Kaushik, Prachuryya and Anand, Ashish},
@@ -93,3 +95,4 @@ If you use this model, please cite the following papers:
   volume={40},
   year={2026}
 }
+```