完成训练后,可以使用 Hugging Face 提供的API 服务 或Gradio 快速部署模型。以下是一个使用 Gradio 创建交互界面的示例: importgradioasgrdefpredict_sentiment(text):result=classifier(text)returnresult[0]["label"]# 创建 Gradio 界面interface=gr.Interface(fn=predict_sentiment,inputs="text",outputs="label")in...
Fine-tune models.Users can fine-tune and train deep learning models using Hugging Face's application programming interface (API) tools. Host demos.Hugging Face lets users create interactive, in-browser demos of machine learning models. This lets users showcase and test models more easily. Research...
reactstable-diffusionhugging-face-api UpdatedMar 6, 2023 JavaScript Srijan-D/LangChain-v0.2-HuggingFace-Llama3 Star5 This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language mod...
git clone https://github.com/ReuAzel181/ChatBot-using-Hugging-Face-API.git cd ChatBot-using-Hugging-Face-API Install Dependencies pip install -r requirements.txt Usage Run the Flask Server python app.py Open in Browser Go to http://127.0.0.1:5000 to interact with the chatbot. Folder ...
使用Hugging Face生态系统快速制作解决方案的原型是处理自然语言处理(NLP)任务的一种快速而简单的方法。 生态系统过去几年的发展意味着开发人员现在可以挑选现成的模型,并且该模型已经在与他们感兴趣的任务相似的任务中进行了微调。 你可以在notebook上或通过应用程序快速评估这个模型,然后用一个更能代表你想解决的具体任...
the essentials of using Hugging Face for image classification, including understanding the basics of image classification, preparing your data, training your model, deploying your model to the Hugging Face hub, and finally interacting with the deployed model through API and Hugging Face interface. ...
JuiceFS Community Edition provides a cross-platform client that supports Linux, macOS, and Windows operating systems. Once you've set up a JuiceFS file system with your compute resources, you can access it using the API or FUSE interface provided by the JuiceFS client for file reading, writing...
通过 gradio_client 版本 0.3.0，任何在互联网上的 gradio ChatInterface 应用都可以通过 Client 类的 deploy_discord 方法自动部署为 Discord 机器人。任何公开了一个 API 路由，接收一个字符串并输出一个字符串的 gradio 应用都可以部署到 Discord。详情请见：https://www.gradio.app/guides/creating-a-discord-...
This interface is a part of the Hugging Face Optimum library. It builds on top of the Intel® Neural Compressor and OpenVINO™ toolkit open source libraries to provide greater model compression and increased inference deployment speed. Use it to apply state-of-the-art optimization techniques su...
One of the main benefits it presents is the simple and user-friendly interface. While you can browse and explore all datasets in the Hugging Face Hub, to use it in your code, they have tailored the dataset library that allows you to download any dataset effortlessly. ...