Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)
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Updated
Nov 23, 2020 - Python
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
Upload & Merge CSV or JSON Data with Images to Notion Database
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.
HFLoader - HuggingFace Model Loader
AI Image Generator using free api
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
Backend for MindPeers ML (NLP) models such as Sentiment Analysis & Keyword Extraction (including Feedback Loops)
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.
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