Github repo with tutorials to fine tune transformers for diff NLP tasks
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Updated
Apr 1, 2024 - Jupyter Notebook
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.
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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
Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
一个文本分类的项目,这个项目实现了三种文本分类的方法,从一开始的随机森林,到fasttext,最后是基于BERT预训练模型训练出自己的文本分类模型;还包括模型的压缩,比如模型量化,模型蒸馏等操作;是一个完整的项目
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.
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.
Aura is an emotion-aware music recommender that understands your mood from natural language input. It uses a fine-tuned BERT model trained on the GoEmotions dataset to detect your emotion. Based on the emotion, Aura suggests a song to comfort your mood or celebrate it through music.
Task Complexity Classifier using Transformer-based NLP model based on Bloom's Taxonomy
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