Update README.md

README.md

@@ -9,8 +9,8 @@ base_model: biodatlab/whisper-th-large-combined
 
 whisper-th-large-ct2 is the CTranslate2 format of [biodatlab/whisper-th-large-combined](https://huggingface.co/biodatlab/whisper-th-large-combined), comparable with [WhisperX](https://github.com/m-bain/whisperX) and [faster-whisper](https://github.com/SYSTRAN/faster-whisper), which enables:
 
-- ⚡️ Batched inference for 70x real-time transcription using Whisper large-v2.
-- 🪶 A faster-whisper backend, requiring <8GB GPU memory for large-v2 with beam_size=5.
+- ⚡️ Batched inference for **70x** real-time transcription using Whisper large-v2.
+- 🪶 A faster-whisper backend, requiring **<8GB GPU memory** for large-v2 with beam_size=5.
 - 🎯 Accurate word-level timestamps using wav2vec2 alignment.
 - 👯‍♂️ Multispeaker ASR using speaker diarization from pyannote-audio (includes speaker ID labels).
 - 🗣️ VAD preprocessing, reducing hallucinations and allowing batching with no WER degradation.