Deprecation notice: superseded by CrisperWhisper2.0_large

README.md

@@ -9,9 +9,15 @@ metrics:
 - wer
 pipeline_tag: automatic-speech-recognition
 library_name: transformers
+new_version: nyralabs/CrisperWhisper2.0_large
 ---
 # CrisperWhisper
 
+> ⚠️ **Deprecation notice**
+>
+> CrisperWhisper (v1) is superseded by **[CrisperWhisper 2.0](https://huggingface.co/nyralabs/CrisperWhisper2.0_large)** and is no longer actively maintained. CrisperWhisper 2.0 has much better verbatim accuracy and 3-5x faster inference, keeps the crisp word-level timestamps, and adds intended mode, hotwords, verbatimize, seamless longform, and speculative decoding. Install it with `pip install crisperwhisper` — the [`crisperwhisper` package](https://pypi.org/project/crisperwhisper/) still runs this v1 model too, easing migration. Details: [github.com/nyrahealth/CrisperWhisper](https://github.com/nyrahealth/CrisperWhisper).
+
+
 **CrisperWhisper** is an advanced variant of OpenAI's Whisper, designed for fast, precise, and verbatim speech recognition with accurate (**crisp**) word-level timestamps. Unlike the original Whisper, which tends to omit disfluencies and follows more of a intended transcription style, CrisperWhisper aims to transcribe every spoken word exactly as it is, including fillers, pauses, stutters and false starts. Checkout our repo for more details: https://github.com/nyrahealth/CrisperWhisper
 
 ## Key Features