折腾 Markdown (3)

折腾 Markdown (3)

这里看了很多Github上面的高赞项目,学习他们的md的写法结构,取其中有代表性的几篇记录学习。

...更新中...

第一篇来源: openai 的 Model Card: Whisper

Model Card: Whisper

This is the official codebase for running the automatic speech recognition (ASR) models (Whisper models) trained and released by OpenAI.

Following Model Cards for Model Reporting (Mitchell et al.), we’re providing some information about the automatic speech recognition model. More information on how these models were trained and evaluated can be found in the paper.

Model Details

The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (ASR) as well as translated into English (speech translation). Researchers at OpenAI developed the models to study the robustness of speech processing systems trained under large-scale weak supervision. There are 9 models of different sizes and capabilities, summarized in the following table.

Size Parameters English-only model Multilingual model
tiny 39 M
base 74 M
small 244 M
medium 769 M
large 1550 M

In December 2022, we released an improved large model named large-v2, and large-v3 in November 2023.

Release date

September 2022 (original series), December 2022 (large-v2), and November 2023 (large-v3)

Model type

Sequence-to-sequence ASR (automatic speech recognition) and speech translation model

Paper & samples

Paper / Blog


第二篇来源: openai 的 Cookbook

OpenAI Cookbook Logo

✨ Navigate at cookbook.openai.com

Example code and guides for accomplishing common tasks with the OpenAI API. To run these examples, you’ll need an OpenAI account and associated API key (create a free account here). Set an environment variable called OPENAI_API_KEY with your API key. Alternatively, in most IDEs such as Visual Studio Code, you can create an .env file at the root of your repo containing OPENAI_API_KEY=<your API key>, which will be picked up by the notebooks.

Contributing

If you’d like to contribute new content, make sure to read through our contribution guidelines. We welcome high-quality submissions of new examples and guides, as long as they meet our criteria and fit within the scope of the cookbook.

Open in GitHub Codespaces