Improve PnC card title and social preview

README.md

@@ -3,6 +3,7 @@ language:
 - da
 license: cc-by-4.0
 license_link: https://huggingface.co/RyeAI/ekko-pnc/blob/d8ea368b1c442efdfea83aa0ac2d35e7715395ee/MODEL_LICENSE.md
+thumbnail: https://huggingface.co/RyeAI/ekko-pnc/resolve/d8ea368b1c442efdfea83aa0ac2d35e7715395ee/cover.png
 library_name: transformers
 pipeline_tag: token-classification
 base_model: jonfd/electra-small-nordic
@@ -22,15 +23,15 @@ metrics:
 - f1
 ---
 
-![Ekko PnC v2](cover.png)
+![Ekko PnC v2 — Danish punctuation restoration](cover.png)
 
-# Ekko PnC v2
+# Ekko PnC v2 — Danish punctuation restoration and truecasing
 
-Ekko PnC adds punctuation and capital letters to Danish speech transcripts.
-It restores commas, full stops, question marks, and exclamation marks while
+Ekko PnC v2 restores punctuation and capitalization in Danish speech transcripts.
+It adds commas, full stops, question marks, and exclamation marks while
 keeping the original words in the same order. This makes it suitable for
-transcripts with word timestamps. Ekko v1 Tiny is a separate speech recognizer;
-PnC v2 can process its output.
+transcripts with word timestamps. The int8 ONNX model runs locally. Ekko v1 Tiny
+is a separate speech recognizer; PnC v2 can process its output.
 
 > **Input:** hej mit navn er emil hvordan går det i dag jeg har været på kontoret og bagefter skal jeg hjem
 >