➡️ Colab Notebook: [ Ссылка ]
➡️ Get Life-time Access to the ADVANCED Transcription Scripts (and future improvements): [ Ссылка ]
➡️ One-click-templates: [ Ссылка ]
➡️ Newsletter: [ Ссылка ]
➡️ Resources/Support/Discord: [ Ссылка ]
➡️ Thumbnail made with this tutorial: [ Ссылка ]

OTHER RESOURCES:
- Faster Whisper: [ Ссылка ]
- CTranslate2: [ Ссылка ]
- Insanely Fast Whisper: [ Ссылка ]

TIMESTAMPS:
0:00 Whisper Turbo Fine-tuning and Serving
0:39 Colab Demo: Transcribing Audio Files and Youtube Audio
2:34 How does Whisper (Turbo) work?
6:00 Faster Whisper, Insanely Fast Whisper, and Fast Whisper Server?
8:01 Fine-tuning Whisper Turbo for new words or accents
16:27 Automating training data cleanup with LLMs
18:36 Chunking our input audio and text data and pushing to hub
22:27 LoRA and Trainer Setup
25:15 Saving, evaluating and converting the model for OpenAI format and Faster Whisper
29:24 Setting up a Faster Whisper Server Endpoint

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