Update README.md

README.md

@@ -72,7 +72,7 @@ library_name: transformers
 
 ## Overview
 
-`BERT-Lite` is an **ultra-lightweight** NLP model derived from **google/bert_uncased_L-2_H-64_A-2**, optimized for **real-time inference** on **edge and IoT devices**. With a quantized size of **~10MB** and **~2M parameters**, it delivers efficient contextual language understanding for highly resource-constrained environments like microcontrollers, wearables, and smart home devices. Designed for **low-latency** and **offline operation**, BERT-Lite is perfect for privacy-first applications requiring intent detection, text classification, or semantic understanding with minimal connectivity.
+`BERT-Lite` is an **ultra-lightweight** NLP model derived from **google/bert-base-uncased**, optimized for **real-time inference** on **edge and IoT devices**. With a quantized size of **~10MB** and **~2M parameters**, it delivers efficient contextual language understanding for highly resource-constrained environments like microcontrollers, wearables, and smart home devices. Designed for **low-latency** and **offline operation**, BERT-Lite is perfect for privacy-first applications requiring intent detection, text classification, or semantic understanding with minimal connectivity.
 
 - **Model Name**: BERT-Lite
 - **Size**: ~10MB (quantized)