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This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!

Fast as Hamster | Stable Hamster | Stable Diffusion

Steps to building your first LLM chatbot

Official Documentation for HUGS

An impelementation of image search engine using CLIP (Contrastive Language-Image Pre-Training

Re-ranking task using MS MARCO dataset and Hugging Face library

Genie in the Box: Distill Whisper STT => Mistral-7B => Phind/Phind-CodeLlama-34B-v2 => GPT 3.5 => Coqui's TTS/OpenAI TTS

Model-independent sketch-to-image studies: seed scouting, controlled variation, replayable manifests, and a zero-download local tour.

Train and fine-tune diffusion models. Perform image-to-image class transfer experiments.

Fine-tuning a quantized Llama 2 chat model on Q&A pairs from counselchat.com to provide empathetic and appropriate mental health advice

A composite GitHub Action to login to the HuggingFace Hub

huggingface.co/chat api. Fixed stream response & web search.

Text Summarization using Transformer on GPU Docker Deployment

multilingual RAG

Hugging Face Model downloader and GGUF Converter.

Fine-tuning BERT and Transformer models for NLP tasks, hands-on notebooks · HuggingFace · PyTorch

AI text humanization tool with detection capabilities. Transform AI-generated content into natural, human-like writing using advanced NLP models (T5, BART, Pegasus). Features real-time AI detection, multi-model paraphrasing, and a modern Svelte frontend.

PyFrame splits GIFs into equal time windows and picks the frame with the highest motion delta from each one. This way you get good scene coverage and catch peak frames without sending every frame to AWS Rekognition cuts costs by ~93% with minimal accuracy loss.

An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning