Update README.md

README.md

@@ -1,3 +1,60 @@
----
-license: apache-2.0
----
+
+license: apache-2.0
+language:
+- bn
+---
+
+# IV-Electra
+
+**IV-Electra** is a 17 million-parameter model, trained on the Vācaspati literary dataset and IndicCorpv1.0 (Bangla subset). 
+
+## Model Details
+
+- **Architecture:** Electra-small (but reduced to 17 M parameters)  
+- **Pretraining Corpus:** Vācaspati — a curated Bangla literary corpus  
+- **Parameter Count:** 17 M (≈ 1/7th the size of BERT-base)  
+- **Tokenizer:** WordPiece, vocabulary size 50 K
+
+
+## Usage Example
+
+```python
+from transformers import BertTokenizer, AutoModelForSequenceClassification
+
+tokenizer = BertTokenizer.from_pretrained("Vacaspati/IV-Electra")
+model = AutoModelForSequenceClassification.from_pretrained("Vacaspati/IV-Electra")
+```
+
+## Citation
+
+If you are using this model please cite:
+
+```bibtex
+
+@inproceedings{bhattacharyya-etal-2023-vacaspati,
+    title = "{VACASPATI}: A Diverse Corpus of {B}angla Literature",
+    author = "Bhattacharyya, Pramit  and
+      Mondal, Joydeep  and
+      Maji, Subhadip  and
+      Bhattacharya, Arnab",
+    editor = "Park, Jong C.  and
+      Arase, Yuki  and
+      Hu, Baotian  and
+      Lu, Wei  and
+      Wijaya, Derry  and
+      Purwarianti, Ayu  and
+      Krisnadhi, Adila Alfa",
+    booktitle = "Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = nov,
+    year = "2023",
+    address = "Nusa Dua, Bali",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.ijcnlp-main.72/",
+    doi = "10.18653/v1/2023.ijcnlp-main.72",
+    pages = "1118--1130"
+}
+
+```
+
+
+