Find agent skills by outcome

pycache/

.ipynb_checkpoints/

Untitled Skill

 

pycache/

suno_bark.egg-info/

Notice: Bark is Suno's open-source text-to-speech+ model. If you are looking for our text-to-music m...

Model Card: Bark

This is the official codebase for running the text to audio model, from Suno.ai.

Model Card: Whisper

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

Override jupyter in Github language stats for more accurate estimate of repo code languages

*.ipynb linguist-generated

CHANGELOG

* Fix: Update torch.load to use weights_only=True to prevent security w… (#2451)

Whisper

[[Blog]](https://openai.com/blog/whisper)

pycache/

*.py[cod]

repos:

- repo: https://github.com/pre-commit/pre-commit-hooks

[flake8]

per-file-ignores =

Qwen-VL-Chat Tutorial

Qwen-VL-Chat은 범용 멀티모달 대규모 언어 모델이며 광범위한 시각 언어 작업을 수행할 수 있습니다. 이 튜토리얼에서는 시각적 질문 답변, 텍스트 이해, 다이어그램을 사용한 수학적 추론, 다중 그림 추론 및 그라운딩(Grounding) 작업에서 Qwen-VL-Chat의 기능을 보여주는 몇 가지 간결한 예제를 제시합니다. Qwen-VL-Chat의 기능...

Qwen-VL-Chat Tutorial

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 ca...

Untitled Skill

中文&nbsp ｜ &nbspEnglish&nbsp&nbsp ｜ &nbsp日本語&nbsp ｜ &nbsp한국어&nbsp

Qwen-VL-Chat使用教程

Qwen-VL-Chat是通用多模态大规模语言模型，因此它可以完成多种视觉语言任务。在本教程之中，我们会给出一些简明的例子，用以展示Qwen-VL-Chat在视觉问答，文字理解，图表数学推理，多图理解和Grounding(根据指令标注图片中指定区域的包围框)等多方面的能力。请注意，展示的例子远非Qwen-VL-Chat能力的极限，您可以通过更换不同的输入图像和提示词（Prompt），来进一步挖掘Q...

Qwen-VL-Chat チュートリアル

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...

Untitled Skill

中文&nbsp ｜ &nbspEnglish&nbsp&nbsp ｜ &nbsp日本語&nbsp｜ &nbsp한국어&nbsp

Untitled Skill

中文&nbsp ｜ &nbspEnglish&nbsp&nbsp ｜ &nbsp日本語&nbsp｜ &nbsp한국어&nbsp

Untitled Skill

中文&nbsp ｜ &nbsp English&nbsp ｜ &nbsp日本語&nbsp

FAQ

4.31.0 が望ましいです。

FAQ

建议使用4.31.0。

FAQ

4.31.0 버전을 사용하는 것을 선호합니다.

FAQ

4.31.0 is preferred.