distilbert

Github repo with tutorials to fine tune transformers for diff NLP tasks

A flexible, adaptive classification system for dynamic text classification

Transformers 3rd Edition

An all-in-one AI audio playground using Cloudflare AI Workers to transcribe, analyze, summarize, and translate any audio file.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Pytorch-Named-Entity-Recognition-with-transformers

Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

FoodBERT: Food Extraction with DistilBERT

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

Distilling Task-Specific Knowledge from Teacher Model into BiLSTM

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

Text to emoji translation via DeepDreaming

NLP model that determines whether a plot is anime enough

Runtime detector for reward hacking and misalignment in LLM agents (89.7% F1 on 5,391 trajectories).

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

Q&A System using BERT and Faiss Vector Database