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__pycache__
no_proxy = localhost, 127.0.0.1, ::1
<h1>Retrieval-based-Voice-Conversion-WebUI</h1>
1. 一般来说,作者`@RVC-Boss`将拒绝所有的算法更改,除非它是为了修复某个代码层面的错误或警告
.ipynb_checkpoints/
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[](https://suno.ai/discord)
suno_bark.egg-info/
This is the official codebase for running the text to audio model, from Suno.ai.
* Fix: Update torch.load to use weights_only=True to prevent security w… ([#2451](https://github.com/openai/whisper/pull/2451))
*.py[cod]
*.ipynb linguist-generated
This is the official codebase for running the automatic speech recognition (ASR) models (Whisper models) trained and released by OpenAI.
- repo: https://github.com/pre-commit/pre-commit-hooks
[[Blog]](https://openai.com/blog/whisper)
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<a href="README_CN.md">中文</a>  |  English   |  <a href="README_JA.md">日本語</a>  |  <a href="README_KO.md">한국어</a> 
Qwen-VL-Chat is a generalist multimodal large-scale language model, and it can perform a wide range of vision-language tasks. In this tutorial, we will give some concise examples to demonstrate the capabilities of Qwen-VL-Chat in **Visual Question Answering, Text Understanding, Mathematical Reasonin
Qwen-VL-Chat は汎用のマルチモーダル大規模言語モデルであり、幅広い視覚言語タスクを実行できます。このチュートリアルでは、Qwen-VL-Chat の**視覚的質問応答、テキスト理解、図を用いた数学的推論、多視点推論、およびグラウンディング**の機能について、いくつかの簡潔な例を挙げて説明します。Qwen-VL-Chat は、入力画像やプロンプトを変更することで、Qwen-VL-Chat の能力をさらに引き出すことができます。