Add library_name and update model card

Hi! I'm Niels from the Hugging Face community team.

I noticed this model is part of the AWED-FiNER project but was missing the `library_name` metadata. I've added `library_name: transformers` to the YAML header, which will enable the "Use in Transformers" button and automated code snippets on the model page.

I've also updated the description to more clearly link the model to the AWED-FiNER paper and collection.

README.md

@@ -1,16 +1,17 @@
 ---
-license: mit
+base_model:
+- FacebookAI/xlm-roberta-large
 datasets:
 - MultiCoNER/multiconer_v2
 language:
 - bn
+license: mit
 metrics:
 - f1
 - precision
 - recall
-base_model:
-- FacebookAI/xlm-roberta-large
 pipeline_tag: token-classification
+library_name: transformers
 tags:
 - NER
 - Named_Entity_Recognition
@@ -19,6 +20,8 @@ pretty_name: MultiCoNER2 Bengali XLM-RoBERTa
 
 **XLM-RoBERTa is fine-tuned on Bengali [MultiCoNER2](https://huggingface.co/datasets/MultiCoNER/multiconer_v2) dataset for Fine-grained Named Entity Recognition.**
 
+This model is part of the **AWED-FiNER** project, as described 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).
+
 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
@@ -93,4 +96,5 @@ If you use this model, please cite the following papers:
   booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
   volume={40},
   year={2026}
-}
+}
+```