Technical requirements
To harness the capabilities of OpenAI’s Whisper for advanced applications, this chapter leverages Python, OpenVINO1 for optimizing model performance, and Google Colab for ease of use and accessibility. The Python environment setup includes the Whisper library for transcription and translation tasks, OpenVINO for enhancing model inference speed, and additional libraries such as PyTube and FeedParser for specific use cases.
1 OpenVINO is a trademark owned by Intel Corporation.
Key requirements:
- Python environment: Ensure Whisper and OpenVINO are installed. OpenVINO is crucial for optimizing Whisper’s performance across different hardware.
- Google Colab notebooks: Utilize the Google Colab notebooks available from this book’s GitHub repository. The notebooks are set to run our Python code with minimum required memory and capacity. If the T4 GPU runtime type is available, select it for better performance..
- GitHub...