Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

huggingface-go : 加速下载 huggingface 的模型和数据集

Simple Generative AI enabled Streamlit web application that converts speech to-image.

This repository contains code for generating blog content using the LLama 2 language model. It integrates with Streamlit for easy user interaction. Simply input your blog topic, desired word count, and writing style to generate engaging blog content.

🤖 Dermify.AI is a AI powered ⚡ Web Application which harnesses the power of image processing to offer cost-effective and accessible skin condition assessments worldwide

In this project I have built an end to end langchain project using hugging face open source llm models such as Mistral and also open source embedding models.

AI Image Generator using free api

HFLoader - HuggingFace Model Loader

Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)

LLM de contexto jurídico para brindar asesoría legal personalizada en español en base a textos jurídicos peruanos.

Rasimda nima tasfirlanganini tarfilab beruvchi telegram bot

This is the avishkaarak-ekta-hindi model, fine-tuned using the SQuAD2.0 dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering.

Fine Tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment

Creating a versatile, AI-powered ChatBot using ChatGPT for engaging and efficient customer interactions. Prioritizing real-time responses, personalization, and seamless integration with existing systems. Enhancing customer satisfaction through timely and accurate query handling.

A simple scraper for tensor.art.. it will help u to generate images

Automate metadata extraction for Parquet & ORC datasets (schema, outliers, contextual, skewness, semanto) with this toolkit. Compatible with Google Gemma and Meta Llama frameworks.

A web application that extracts, processes, and intelligently interacts with PDF content. Using natural language processing and vector embeddings, it transforms PDF text into high-dimensional vectors for efficient and accurate querying.

Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)