Publish promoted browser profile-QA artifacts

README.md

@@ -80,6 +80,8 @@ with signed int8 ONNX weights.
 - Training: PyTorch, Transformers, PEFT, bitsandbytes, Datasets
 - Export: Optimum ONNX export, ONNX Runtime dynamic quantization
 - Browser runtime: Transformers.js with ONNX Runtime Web/WASM
+- Browser packaging: `text2text-generation-with-past` export with
+  `decoder_model_merged` and subgraph-enabled ONNX quantization
 
 ## Hardware