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

Turkish BERT/DistilBERT, ELECTRA, ConvBERT and T5 models

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

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Transformers 3rd Edition

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

Build and train state-of-the-art natural language processing models using BERT

Pytorch-Named-Entity-Recognition-with-transformers

A flexible, adaptive classification system for dynamic text classification

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

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

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

Distillation of BERT model with catalyst framework

FoodBERT: Food Extraction with DistilBERT

DistilBERT model pre-trained on 131 GB of Japanese web text. The teacher model is BERT-base that built in-house at LINE.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Compares the DistilBERT and MobileBERT architectures for mobile deployments.

Distilling Task-Specific Knowledge from Teacher Model into BiLSTM

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