Update README: mention all Matryoshka dimensions (32, 64, 96, 128)

README.md

@@ -20,7 +20,7 @@ library_name: PyLate
 
 # dragonkue/colbert-ko-0.1b
 
-This is a [PyLate](https://github.com/lightonai/pylate) model finetuned from [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on the parquet dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
+This is a [PyLate](https://github.com/lightonai/pylate) model finetuned from [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on the parquet dataset. It maps sentences & paragraphs to sequences of 32, 64, 96, 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
 
 ## Model Details