minilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Unattended Lightweight Text Classifiers with LLM Embeddings

Faster, smaller BERT models in just a few lines of code.

Ash — offline survival assistant for iOS. Gemma 4 E2B/E4B fully on-device (text · image · voice) with RAG-grounded answers over 56 emergency-response packs. Built for the Kaggle Gemma 4 Good Hackathon.

Lightweight cross-lingual coreference resolution with spaCy using ONNX Runtime inference of transformer models.

Twitter Sentiment Analysis using all-MiniLM-L6-v2 embeddings.

Biomedical RAG Tool for Gene - Disease Association

CPU-friendly text classifier: resume | job_post | other — routes browser captures in AI Career OS

Domain and task adaptive pretrained model (~33M params) built on MiniLM for climate-related NLP tasks.

End-to-end multi-agent research system with 6 specialized agents (Planner, Search, Scraper, Retriever, Writer, Evaluator) to separate task planning, live source discovery, grounded synthesis, and output evaluation.

This repository serves as the RAG Project MiniLM Model from Microsoft named as sentence-transformers/all-MiniLM-L6-v2 as the embedding model for my resume , and utilizing OpenAI to answer questions based on the Resume

This project is a Retrieval-Augmented Generation (RAG) pipeline built over a sampled subset of the arXiv academic paper metadata. It was developed as a submission for the TechHub CodeSprint Challenge 2026.

Dashboard Streamlit de scoring crédit explicable + veille NLP comparative BERT vs MiniLM pour la classification de produits e-commerce.

Extract skills from job postings & resumes — trained gazetteer+MiniLM+MLP pipeline (73% F1), identical in Python, JS, Ruby, Rust

comprehensive solutions for Adobe's Document Intelligence Hackathon 2025, encompassing two distinct challenges focused on advanced PDF processing and persona-driven content analysis. Both implementations adhere to stringent performance requirements including sub-60-second execution times and containerized deployment within 1GB resource constraints

Production-oriented customer support ticket classifier using MiniLM, Logistic Regression, FastAPI, Docker, and optional LLM fallback.

Fully local and open-source AI study companion for lecture PDFs - with slide summarization, smart Q&A, and flashcard creation using LangChain and Hugging Face Transformers.

IndexMind — Multilingual NLP system for intelligent technical content classification using TF-IDF, MiniLM, LinearSVC, FastAPI and Docker.

RAG pipeline vs rules-based chatbot for university FAQs. Built with FAISS, GPT-3.5, Python REST API, and deployed via Anvil.

A state-of-the-art Retrieval-Augmented Generation (RAG) system with hybrid search, multi-hop reasoning, answer verification, and source citation — delivering accurate, trustworthy, and context-aware answers from large document collections.