Add library_name to metadata and improve model card documentation

README.md

@@ -1,24 +1,27 @@
 ---
-license: mit
+base_model:
+- FacebookAI/xlm-roberta-large
 datasets:
 - MultiCoNER/multiconer_v2
 language:
 - de
+license: mit
 metrics:
 - f1
 - precision
 - recall
-base_model:
-- FacebookAI/xlm-roberta-large
 pipeline_tag: token-classification
 tags:
 - NER
 - Named_Entity_Recognition
 pretty_name: MultiCoNER2 German XLM-RoBERTa
+library_name: transformers
 ---
 
 **XLM-RoBERTa is fine-tuned on German [MultiCoNER2](https://huggingface.co/datasets/MultiCoNER/multiconer_v2) dataset for Fine-grained Named Entity Recognition.**
 
+This model is part of the [AWED-FiNER](https://huggingface.co/papers/2601.10161) framework, providing fine-grained NER solutions.
+
 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}
-}
+}
+```