(1) llama.cpp and ollama support for efficient CPU inference on local devices, (2) GGUF format quantized models in 16 sizes, (3) efficient LoRA fine-tuning with only 2 V100 GPUs, (4) streaming output, (5) quick local WebUI demo setup with Gradio and Streamlit, and (6) interactive ...
Streamlit applicationThis section will show how to start the "Sports News" application.Download the “Sports News” application configuration.mkdir sports wget https://raw.githubusercontent.com/neuml/tldrstory/master/apps/sports/app.yml -O sports/app.yml wget https://raw.githubusercontent.com/ne...
Gradio和Streamlit等工具提供简单且用户友好的界面,可以用最少的编码创建LLM应用程序的交互式 Web 演示。 Gradio enables developers to swiftly create web apps that can be shared, showcasing their models’ functionalities without requiring expert web development skills. Likewise, Streamlit provides a pathway fo...
(updated_latex_text) +import streamlit as st + +def parse(latex_text: str): + # 分割文本 + parts = latex_text.split(r'\begin{figure}[h!]') + + + # 处理分割后的文本,跳过第一个因为它在第一个figure之前 + new_parts = [parts[0]] + for i in range(1, len(parts))...
CODE_OF_CONDUCT.md HiPlot initial commit Jan 31, 2020 CONTRIBUTING.md HiPlot initial commit Jan 31, 2020 LICENSE HiPlot initial commit Jan 31, 2020 MANIFEST.in Include built streamlit component in wheel (#114) Jul 15, 2020 NOTICE Add NOTICE, fix copyright and npm audit (#131) Nov 26, 20...
import streamlit as st def parse(latex_text: str): # 分割文本 parts = latex_text.split(r'\begin{figure}[h!]') # 处理分割后的文本,跳过第一个因为它在第一个figure之前 new_parts = [parts[0]] for i in range(1, len(parts)): figure_block = r'\begin{figure}[h!]' + parts...
(1) llama.cpp and ollama support for efficient CPU inference on local devices, (2) GGUF format quantized models in 16 sizes, (3) efficient LoRA fine-tuning with only 2 V100 GPUs, (4) streaming output, (5) quick local WebUI demo setup with Gradio and Streamlit, and (6) interactive ...