CrisperWhisper2.0 Trends on HF: Verbatim Transcription & Word Timestamps
nyralabs · hf · 2026-07-31
nyralabs/CrisperWhisper2.0large is trending on Hugging Face.
Built for automatic speech recognition (ASR), the model's key features include:
- Verbatim Transcription: Accurately captures speech details including disfluencies.
- Word-level Timestamps: Provides precise time alignment for applications like video subtitling.
- Supports the ctranslate2 format for efficient inference and deployment.
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