Update README.md

README.md

@@ -1,8 +1,10 @@
-
 ---
 library_name: transformers
 language:
 - grc
+base_model:
+- Ericu950/SyllaMoBert-grc-v1
+pipeline_tag: token-classification
 ---
 
 # SyllaMoBert-grc-macronizer-v1
@@ -10,9 +12,9 @@ language:
 **SyllaMoBERT-grc-macronizer-v1** is a token classification model designed for the macronization of Ancient Greek. It predicts the syllabic quantity—long or short—of dichrona, which are open syllables whose length depends on morphological or phonological context.
 
 The model was evaluated using an 80/10/10 train/dev/test split and achieved the following accuracy:
-	•	97.9% on open syllables with short dichrona
-	•	99.0% on open syllables with long dichrona
-	•	99.8% on the (trivially predictable) class of heavy syllables
+- 97.9% on open syllables with short dichrona
+- 99.0% on open syllables with long dichrona
+- 99.8% on the (trivially predictable) class of heavy syllables
 
 This makes SyllaMoBert-grc-macronizer-v1 a useful tool for tasks involving prosody, metrical analysis.