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metadata
license: other
license_name: bundle-mixed-licenses
license_link: https://huggingface.co/deAPI-ai/whisper-large-v3-ct2#licenses
language:
  - multilingual
  - en
  - pl
tags:
  - speech-to-text
  - automatic-speech-recognition
  - faster-whisper
  - ctranslate2
  - wav2vec2
  - forced-alignment
  - word-timestamps
  - speaker-diarization
  - pyannote
pipeline_tag: automatic-speech-recognition

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.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).