From ca9444b32ea36c206da08eb97b89525a98a532c9 Mon Sep 17 00:00:00 2001 From: Jong Wook Kim Date: Tue, 17 Jan 2023 16:08:28 -0800 Subject: [PATCH] Release 20230117 --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9d39f8202..8f6de2b02 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,11 @@ A Transformer sequence-to-sequence model is trained on various speech processing ## Setup -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 3.7 or later and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [HuggingFace Transformers](https://huggingface.co/docs/transformers/index) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. The following command will pull and install the latest commit from this repository, along with its Python dependencies: +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 3.7 or later and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [HuggingFace Transformers](https://huggingface.co/docs/transformers/index) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. You can download and install (or update to) the latest release of Whisper with the following command: + + pip install -U openai-whisper + +Alternatively, the following command will pull and install the latest commit from this repository, along with its Python dependencies: pip install git+https://github.com/openai/whisper.git