huggingface-transformers

A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020

Uses GPT2 to simulate your friends

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).

Fine-tuning a Hugging Face BERT model for the United Nations Named Entity Recognition task.

A Word Level Transformer layer based on PyTorch and 🤗 Transformers.

NLP model that predicts subreddit based on the title of a post

A character tokenizer for Hugging Face Transformers

A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it

Fine tune LLM with HuggingFace

Generate README.md with GPT-3 few-shot learning

Streamlit app to Translate text to or between 50 languages with mBART-50 from Huggingface and Facebook

Lightweight representation engineering dataflow operations for agent developers.

Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.

Mono repo with support for HuggingFace packages including diffusers, embeddings, transformers and grouding dino

A web application to summarize a given input data

Comparing state of the art models for text summary generation

Question Answering model based on DistilBERT, trained and evaluated on the SQUAD dataset

How to build a multi-label sentiment classifiers with Tez and PyTorch

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

MultimodalHugs is an extension of Hugging Face that offers a generalized framework for training, evaluating, and using multimodal AI models with minimal code differences, ensuring seamless compatibility with Hugging Face pipelines.