GitHub topics: hugging-face-api

Repositories

vansh-codes/AI-Text-Summarizer-App

AI Text Summarizer App - Quickly generate concise summaries of lengthy articles, research papers, and other documents using advanced AI technology. Improve your productivity and save time with our easy-to-use summarization tool. Perfect for students, researchers, and professionals. Try it now!

Language: JavaScript - Size: 619 KB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0

Uni-Creator/Chat-with-LLM

Chat with LLM is a user-friendly Streamlit app that allows real-time interaction with various large language models (LLMs) via Hugging Face's API. Users can select different models, adjust settings such as temperature and token limits, and engage in dynamic conversations with AI.

Language: Python - Size: 563 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

ksm26/Open-Source-Models-with-Hugging-Face

"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 19

ogios/huggingchat-api-Chinese.ver 📦

登录 Huggingchat 与对话，配合有道翻译，可以使用"Search web"。Login to hugging-chat, translate response into chinese. "Search web" supported!

Language: Python - Size: 174 KB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Srijan-D/LangChain-v0.2-HuggingFace-Llama3

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 model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.

Language: Python - Size: 224 KB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 5 - Forks: 1

nisrinaishmh/the-art-of-prompt-engineering

This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0