Trending repositories for topic bert

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository contains demos I made with the Transformers library by HuggingFace.

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d...

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

Transformers 3rd Edition

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

vits2 backbone with multilingual-bert

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

we want to create a repo to illustrate usage of transformers in chinese

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Google AI 2018 BERT pytorch implementation

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Transformer related optimization, including BERT, GPT

LLMs4OL:‌ Large Language Models for Ontology Learning

Transformers 3rd Edition

LLMs4OL:‌ Large Language Models for Ontology Learning

Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Unattended Lightweight Text Classifiers with LLM Embeddings

Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

An NLP system for generating reading comprehension questions

we want to create a repo to illustrate usage of transformers in chinese

This repository contains demos I made with the Transformers library by HuggingFace.

BETO - Spanish version of the BERT model

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

Simple implementation of OpenAI CLIP model in PyTorch.

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E ...

vits2 backbone with multilingual-bert

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d...

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

This repository contains demos I made with the Transformers library by HuggingFace.

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

vits2 backbone with multilingual-bert

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...

Transformers 3rd Edition

Natural Language Processing Tutorial for Deep Learning Researchers

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

we want to create a repo to illustrate usage of transformers in chinese

中文nlp解决方案(大模型、数据、模型、训练、推理)

Transformers 库快速入门教程

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Transformer related optimization, including BERT, GPT

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Transformers 3rd Edition

Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)

LLMs4OL:‌ Large Language Models for Ontology Learning

A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

Bangla-Bert is a pretrained bert model for Bengali language

An NLP system for generating reading comprehension questions

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Transformers 库快速入门教程

实体关系抽取，使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction，包含Bert、Albert、gru的使用，并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

Pytorch Implementation of GoEmotions 😍😢😱

CodeBERTScore: an automatic metric for code generation, based on BERTScore

Unattended Lightweight Text Classifiers with LLM Embeddings

Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

The Official Repo for "Quick Start Guide to Large Language Models"

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d...

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

This repository contains demos I made with the Transformers library by HuggingFace.

vits2 backbone with multilingual-bert

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

we want to create a repo to illustrate usage of transformers in chinese

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...

Natural Language Processing Tutorial for Deep Learning Researchers

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Transformers 库快速入门教程

中文nlp解决方案(大模型、数据、模型、训练、推理)

Transformer related optimization, including BERT, GPT

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Minimal keyword extraction with BERT

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

LLMs4OL:‌ Large Language Models for Ontology Learning

Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improveme...

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...

Transformers 3rd Edition

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Preprint: Asymmetry in Low-Rank Adapters of Foundation Models

The Official Repo for "Quick Start Guide to Large Language Models"

Sapiens is a human antibody language model based on BERT.

AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀

Transformers 库快速入门教程

Scripts and Approach for Amazon ML Challenge

Research and Materials on Hardware implementation of Transformer Model

Basic implementation of the life2vec model with the dummy data.

Fast and memory-efficient library for WordPiece tokenization as it is used by BERT.

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

Unattended Lightweight Text Classifiers with LLM Embeddings

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...

Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)

A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...

Basic implementation of the life2vec model with the dummy data.

AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀

Preprint: Asymmetry in Low-Rank Adapters of Foundation Models

Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom dataset. Provided actionable insights to telecom operators for cu...

[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

vits2 backbone with multilingual-bert

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your d...

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

This repository contains demos I made with the Transformers library by HuggingFace.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Transformer related optimization, including BERT, GPT

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Natural Language Processing Tutorial for Deep Learning Researchers

we want to create a repo to illustrate usage of transformers in chinese

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

中文nlp解决方案(大模型、数据、模型、训练、推理)

Transformers 库快速入门教程

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

Minimal keyword extraction with BERT

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

A Unified Library for Parameter-Efficient and Modular Transfer Learning

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

The Official Repo for "Quick Start Guide to Large Language Models"

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...

vits2 backbone with multilingual-bert

Unattended Lightweight Text Classifiers with LLM Embeddings

Transformers 库快速入门教程

文本相似度，语义向量，文本向量，text-similarity，similarity, sentence-similarity，BERT，SimCSE，BERT-Whitening，Sentence-BERT, PromCSE, SBERT

[IEEE BigData 2022, 5th Workshop on Big Data for CyberSecurity (BigCyber-2022)] Dark patterns in e-commerce: a dataset and its baseline evaluations

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.

Research and Materials on Hardware implementation of Transformer Model

Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contains a...

BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)

Highly commented implementations of Transformers in PyTorch

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation all...

LLMs4OL:‌ Large Language Models for Ontology Learning

MindSpore online courses: Step into LLM

使用bert进行关系三元组抽取。

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.