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Merge cc1e1d12101ca4fdf8612bb03ec49a7012945ed5 into c0d2f624c09dc18e709e37c2ad90c039a4eb72a2
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@ -19,7 +19,7 @@ A Transformer sequence-to-sequence model is trained on various speech processing
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We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [OpenAI's tiktoken](https://github.com/openai/tiktoken) for their fast tokenizer implementation. You can download and install (or update to) the latest release of Whisper with the following command:
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pip install -U openai-whisper
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pipx install openai-whisper
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Alternatively, the following command will pull and install the latest commit from this repository, along with its Python dependencies:
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