A minimalist Docker project to help people getting started with Node, CTransformers, Express and TypeScript. Ready to be used in a Hugging Face Space.
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Updated
Jun 21, 2023 - TypeScript
A minimalist Docker project to help people getting started with Node, CTransformers, Express and TypeScript. Ready to be used in a Hugging Face Space.
Run inference on replit-3B code instruct model using CPU
A Discord bot that uses the ctransformers library for message inference
Chat with your documents offline using AI.
A repository for training transformer based models
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Working on LLMs
Write Wiz - Blog Generator 📝 Generate captivating blogs effortlessly with Write Wiz! Write Wiz is powered by the LLama 2 model.
Python bindings for the Transformer models implemented in C/C++ using GGML library.
solo connector core built on ctransformers
This chat bot answers all your questions regarding menstruation ( hormonal changes , phases of menstruation and many more)
Python기반 라이브러리 Langchain, Streamlit, CTransformers를 이용하여 llama2 모델을 이용한 웹페이지 제작을 하였습니다
Text2ImageDescription retrieves relevant images from Pascal VOC 2012 dataset using OpenAI CLIP, based on text queries, and generates descriptions using quantized Mistral-7b model.
The MediNova AI is a powerful tool designed to provide medical information by answering user queries using state-of-the-art language models and vector stores.
The Medical Chatbot, built with Flask, integrates NLP libraries like Langchain and Hugging Face Transformers for text processing and embedding generation. Utilizing Pinecone as a vector database, it efficiently stores and retrieves data, offering users an interactive platform for medical inquiries.
This Streamlit app uses an advanced language model to help you generate content. Just tell it your topic, word count, and job profile, and voila! Your blog post is ready.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
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