update readme with journal reference

README.md

@@ -1,27 +1,27 @@
----
-license: mit
-library_name: transformers
-pipeline_tag: fill-mask
-tags:
-- cheminformatics
-- ChemBERTa-3
-- masked-lm
-- c3-MoLFormer
----
-
-# MoLFormer-c3-1.1B
-
-MoLFormer-c3-1.1B, as described in the Chemberta-3 paper [1] is pretrained on a combination of 100% ZINC20 (1B) and 100% Pubchem (100M)
-
-## Usage
-
-```python
-from transformers import AutoTokenizer, AutoModelForMaskedLM
-
-tokenizer = AutoTokenizer.from_pretrained("DeepChem/MoLFormer-c3-1.1B")
-model = AutoModelForMaskedLM.from_pretrained("DeepChem/MoLFormer-c3-1.1B")
-```
-
-## Reference
-
-1. Singh R, Barsainyan AA, Irfan R, Amorin CJ, He S, Davis T, et al. ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models. ChemRxiv. 2025; doi:10.26434/chemrxiv-2025-4glrl-v2  This content is a preprint and has not been peer-reviewed.
+---
+license: mit
+library_name: transformers
+pipeline_tag: fill-mask
+tags:
+- cheminformatics
+- ChemBERTa-3
+- masked-lm
+- c3-MoLFormer
+---
+
+# MoLFormer-c3-1.1B
+
+MoLFormer-c3-1.1B, as described in the Chemberta-3 paper [1] is pretrained on a combination of 100% ZINC20 (1B) and 100% Pubchem (100M)
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForMaskedLM
+
+tokenizer = AutoTokenizer.from_pretrained("DeepChem/MoLFormer-c3-1.1B")
+model = AutoModelForMaskedLM.from_pretrained("DeepChem/MoLFormer-c3-1.1B")
+```
+
+## Reference
+
+1. Singh R, Barsainyan AA, Irfan R, Amorin CJ, He S, Davis T, et al. ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models. RSC Digital Discovery 2026; doi:10.1039/D5DD00348B