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Add French model accuracy and performance table to README

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This update introduces a table to the README that outlines the accuracy, speed, and best use cases for Whisper models in French. It provides clarity for users selecting a model for French transcription tasks.
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Julien Fastré 2025-03-26 23:08:46 +01:00
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@ -64,6 +64,16 @@ them. Specifically:
If you need to modify or relocate the cache directory, you can set the `WHISPER_CACHE_DIR` environment variable to
specify a custom path for storing these files.
## Which whisper model for French ?
| Model | Multilingual? | Accuracy in French | Speed | Best For |
|-----------|--------------|--------------------|-------|----------|
| **tiny** | ✅ Yes | ❌ Poor | 🚀 Fastest | Basic transcription, very simple audio |
| **base** | ✅ Yes | ⚠️ Okay | 🔥 Fast | Short/simple French audio |
| **small** | ✅ Yes | ✅ Good | ⚡ Fast | General French transcription |
| **medium**| ✅ Yes | ✅✅ Very Good | ⏳ Slower | Better accuracy in noisy audio |
| **large** | ✅ Yes | ✅✅✅ Best | 🐢 Slowest | High accuracy, complex speech |
## Notes