Cohere Transcribe 2B
此 Soniqo 页面记录本地 speech-swift / speech-core 实现中的 Cohere Transcribe 2B。Hugging Face 包链接放在集成说明之后。
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概览
| 模型 | Cohere Transcribe 2B |
|---|---|
| 用途 | High-accuracy multilingual offline speech-to-text |
| 后端 | Native MLX on Apple Silicon |
| 输出 | Plain-text transcription |
| 语言 | 14 languages |
| 许可证 | Apache-2.0 |
| 状态 | Published FP16, INT5, and INT8 bundles; INT5 is the default |
| 来源 | Cohere Transcribe |
| Swift 产品 | CohereTranscribeASR |
| CLI / 运行时 | speech transcribe --engine cohere |
使用
下面的片段对应当前 speech-swift 仓库暴露的 API 或命令。
# 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模型链接
实现说明
- 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.