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.

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.bin is CTranslate2's own binary format (the transcription engine) — not a PyTorch pickle.
The aligners are stored as safetensors.
diarization/*/pytorch_model.bin are pyannote / PyTorch-Lightning checkpoints; they carry non-tensor hyperparameters that safetensors cannot hold, so they remain .bin (identical to the official pyannote/speaker-diarization-community-1 repo).

deAPI-ai/whisper-large-v3-ct2

Whisper Large V3 CT2 — Word/Char Timestamps + Diarization Bundle

Contents

Licenses

Note on file formats

deAPI-ai/
whisper-large-v3-ct2