transformers

Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).

A universal Qdrant table frontend based on transformers.js

A Persian Image Captioning model based on Vision Encoder Decoder Models of the transformers🤗.

Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → parallelism → vLLM/SGLang, with GPU labs on open models.

⚡ A seamless integration of HuggingFace Transformers & Diffusers with RBLN SDK for efficient inference on RBLN NPUs.

Comparing state of the art models for text summary generation

A multi-purpose repository with Sentiment Analysis of Stocks news, and Reinforcement learning based bot to trade stocks.

Convenient Text-to-Text Training for Transformers

End-To-End Machine Learning Project for Automatic Grades for Student Essays

Developing a classifier to detect instances of racism and xenophobia in English sentences

Practical guide to fine-tuning LLMs like Gemma, LLaMA, and Mistral on custom datasets using popular frameworks.

Open Translator: Speech To Speech and Speech to text Translator with voice cloning and other cool features

QuantLLM is a Python library designed for developers, researchers, and teams who want to fine-tune and deploy large language models (LLMs) efficiently using 4-bit and 8-bit quantization techniques.

The text summarizer project is an innovative tool designed to condense lengthy textual content into concise and informative summaries, enabling users to efficiently grasp the main ideas and key points of the original text.

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

H.E.I.M.D.A.L.L looks at fleet telemetry and gives you natural-language insights. GPU data loading (cuDF), local LLM inference (Gemma 2), and production NIM on GKE. Open the notebooks, run cells, get answers! Quick start should not take longer than 10 minutes and the T4 path is completely free!

A tool for performing semantic search within pdf documents leveraging sentence transformers.

A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets