Cohere Transcribe 2B
Esta página da Soniqo documenta Cohere Transcribe 2B conforme a implementação local em speech-swift / speech-core. Os links do Hugging Face ficam abaixo das notas de integração.
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Visão geral
| Modelo | Cohere Transcribe 2B |
|---|---|
| Papel | High-accuracy multilingual offline speech-to-text |
| Backend | Native MLX on Apple Silicon |
| Saída | Plain-text transcription |
| Idiomas | 14 languages |
| Licença | Apache-2.0 |
| Status | Published FP16, INT5, and INT8 bundles; INT5 is the default |
| Fonte | Cohere Transcribe |
| Produto Swift | CohereTranscribeASR |
| CLI / runtime | speech transcribe --engine cohere |
Uso
O trecho abaixo reflete a API ou comando atual exposto por speech-swift.
# INT5 is the default.
speech transcribe recording.wav --engine cohere
# Select another published precision and pass a language hint.
speech transcribe recording.wav --engine cohere --model int8 --language de
Links do modelo
Notas de implementação
- The runtime resamples mono Float32 PCM to 16 kHz and handles long recordings in overlapping chunks.
- INT5 is the practical default: on the validated English FLEURS run it used a 1.62 GiB bundle, 2,582 MiB physical footprint, and 0.0150 mean RTF.
- MLX affine quantization supports 2, 3, 4, 5, 6, and 8 bits, not INT7; choose INT8 when prioritizing quality.
- This is a non-streaming engine. The CLI rejects --stream instead of silently changing behavior.
- The published benchmark covers English read speech and does not claim parity with conversational, telephone, noisy, or speaker-heavy benchmarks.