Add `pipeline_tag` and `library_name` to model card

README.md

@@ -1,18 +1,20 @@
 ---
+datasets:
+- l3cube-pune/MahaEmotions
 language: mr
+license: cc-by-4.0
 tags:
 - bert
-license: cc-by-4.0
-datasets:
-- l3cube-pune/MahaEmotions
 widget:
-- text: "ते फुलांचे सौंदर्य आहे जे कवी आणि लेखकांना त्यांच्याजवळ इतके आकर्षित करते, आणि आपण ते त्यांच्या लेखना मधून बघू शकतात"
+- text: ते फुलांचे सौंदर्य आहे जे कवी आणि लेखकांना त्यांच्याजवळ इतके आकर्षित करते,
+    आणि आपण ते त्यांच्या लेखना मधून बघू शकतात
+pipeline_tag: text-classification
+library_name: transformers
 ---
 
-
 ## MahaEmotions-BERT
 
-MahaEmotions-BERT is a MahaBERT(<a href="https://huggingface.co/l3cube-pune/marathi-bert-v2">l3cube-pune/marathi-bert-v2</a>) model fine-tuned on L3Cube-MahaEmotions Corpus, a Marathi Emotion Recognition dataset. <br>
+MahaEmotions-BERT is a MahaBERT([l3cube-pune/marathi-bert-v2](https://huggingface.co/l3cube-pune/marathi-bert-v2)) model fine-tuned on L3Cube-MahaEmotions Corpus, a Marathi Emotion Recognition dataset. <br>
 MahaEmotions is a high-quality Marathi emotion recognition dataset designed to address the challenge of limited annotated data in low-resource languages. It features 11 fine-grained emotion labels and combines synthetically annotated training data (generated using Large Language Models like GPT-4) with manually labeled validation and test sets to establish a reliable gold-standard benchmark. <br>
 [github link] (https://github.com/l3cube-pune/MarathiNLP)