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Local Model Setup
Linnet runs fully locally on the Free tier. The transcription pipeline (Whisper) and tone annotation engine (wav2vec2-based SER, or speech emotion recognition) are bundled and download automatically on first start. No additional setup is required for core functionality.
What runs locally
| Component | Model | Purpose |
|---|---|---|
| Transcription | Whisper (base or small) | Speech-to-text |
| Tone annotation | wav2vec2 SER | Emotional/social register classification |
Audio never leaves your machine. Both models run on-device via the cf-voice inference layer.
Optional: translation via DeepL
Translation is the only feature that requires an external service. Two paths are available:
Free tier: BYOK (bring your own key)
DeepL offers a free API tier (500,000 characters/month). Sign up, copy your API key, and add it to your .env:
DEEPL_API_KEY=your-deepl-api-key-here
Restart Linnet after saving the file.
Paid tier
The Paid tier includes a CF-managed DeepL key. No environment variable is needed. Translation appears automatically once your license key is active.
Choosing a Whisper model size
The default is whisper-base. If your machine has more VRAM or you want higher accuracy:
WHISPER_MODEL=small # default: base
Available sizes: tiny, base, small, medium, large. Larger models are slower but more accurate, especially for accented speech.