Whisper Large V3 CT2 — Word/Char Timestamps + Diarization Bundle
A single, self-contained ASR bundle: faster-whisper / CTranslate2 transcription of Whisper large-v3, plus wav2vec2 forced alignment for accurate per-word and per-char timestamps, plus optional pyannote speaker diarization. Everything is resolved locally from this directory — nothing is downloaded at runtime.
Contents
| Path | Component | Purpose |
|---|---|---|
/ | Whisper large-v3 (CTranslate2, int8_float16-ready) | transcription engine |
aligners/en | wav2vec2-large-xlsr-53-english | English word/char timestamps |
aligners/pl | wav2vec2-large-xlsr-53-polish | Polish word/char timestamps |
aligners/multi | wav2vec2-xlsr-multilingual-56 | 56-language fallback aligner |
diarization/ | speaker-diarization-community-1 | speaker labels (who spoke when) |
Licenses
This is a bundle of independently-licensed models. Each component keeps its own license:
| Component | Source | License |
|---|---|---|
| Whisper large-v3 weights | openai/whisper-large-v3 | MIT |
| CTranslate2 conversion format | OpenNMT/CTranslate2 (SYSTRAN) | MIT |
| English aligner | jonatasgrosman/wav2vec2-large-xlsr-53-english | Apache-2.0 |
| Polish aligner | jonatasgrosman/wav2vec2-large-xlsr-53-polish | Apache-2.0 |
| Multilingual aligner | voidful/wav2vec2-xlsr-multilingual-56 | Apache-2.0 |
| Diarization | pyannote/speaker-diarization-community-1 | CC-BY-4.0 (weights) · pyannote.audio code MIT |
Attribution (required): the diarization weights are licensed CC-BY-4.0 — commercial
use is permitted with attribution to pyannote (Hervé Bredin et al.) and the
speaker-diarization-community-1 model card. Keep this notice on any redistribution.
The bundle is made available by deAPI-ai on Hugging Face, configured for integration with GamerHash AI's platform. All credit for the underlying models belongs to their respective creators listed above.
Note on file formats
model.binis CTranslate2's own binary format (the transcription engine) — not a PyTorch pickle.- The aligners are stored as safetensors.
diarization/*/pytorch_model.binare pyannote / PyTorch-Lightning checkpoints; they carry non-tensor hyperparameters that safetensors cannot hold, so they remain.bin(identical to the officialpyannote/speaker-diarization-community-1repo).