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#

bert-model

Here are 1,322 public repositories matching this topic...

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

  • UpdatedSep 3, 2024
  • Python

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

  • UpdatedJan 24, 2024
  • Jupyter Notebook

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

  • UpdatedJun 1, 2020
  • Python

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

  • UpdatedOct 6, 2025
  • Python

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

  • UpdatedJan 23, 2025
  • Jupyter Notebook

Portuguese pre-trained BERT models

  • UpdatedJun 17, 2024
  • Python

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

  • UpdatedMar 25, 2023
  • Python

A Model for Natural Language Attack on Text Classification and Inference

  • UpdatedDec 8, 2022
  • Python

BETO - Spanish version of the BERT model

  • UpdatedOct 21, 2023

🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

  • UpdatedNov 7, 2022

Abstractive summarisation using Bert as encoder and Transformer Decoder

  • UpdatedMay 30, 2023
  • Python

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

  • UpdatedJun 12, 2023
  • Jupyter Notebook

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

  • UpdatedJun 12, 2023
  • Python

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于http://lic2019.ccf.org.cn/kg 信息抽取。

  • UpdatedJul 25, 2019
  • Python

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

  • UpdatedOct 20, 2025
  • Python

Semantics-aware BERT for Language Understanding (AAAI 2020)

  • UpdatedDec 21, 2022
  • Python

Ner with Bert

  • UpdatedOct 20, 2019
  • Python

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