Use Google Gemma with Gradio Chat
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Updated
Feb 24, 2024 - Python
Use Google Gemma with Gradio Chat
Neuron is a conversational AI model using the Gemma LLM by Google from Hugging Face. It is designed to engage in a variety of topics and provide information on a wide range of subjects. With its ability to learn and adapt, this chatbot can provide a unique and engaging experience.
⚗️ Gemma 2 9B model instruct repository
Computing algorithms to increase the context windows of LLMs at a smaller scale
Trying out Google's new Gemma Large Language model
This repository highlights the LLMs reasoning capabilities of ✨ Mistral / LLaMA-3 / Phi-3 / Gemma / Flan-T5 / GPT-4o ✨ in Targeted Sentiment Analysis in Russian / Translated to English mass-media 📊
Telegram bot that uses preset prompts to help users communicate like native English speakers.
This project is a Streamlit-based web application designed for document-based question answering. It allows users to ask questions based on a collection of provided documents and receive accurate responses grounded in the document context.
A Streamlit app for running open-source text and image models on Fireworks AI.
Use LLM for Web scraping (collection data)
This repository contains my team's internship project work at Flexbox Technologies. We have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.
OSINT with OLLAMA
This repository features DocTalk, an innovative chat application harnessing the power of LangChain, Groq, RAG, and Gemma models for dynamic interaction with PDF documents. Users can effortlessly upload their PDF files, pose inquiries related to the content, and promptly obtain precise responses extracted from the documents.
I’ll be testing different Gemma models and sharing the results here and on my Hugging Face space. Stay tuned for updates!
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