Text Classification
920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
🏷️ Named Entity Recognition
PythonApache-2.0updated Jun 18, 2022
Unattended Lightweight Text Classifiers with LLM Embeddings
$ git clone https://github.com/labteral/fastc.gitpytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
transform multi-label classification as sentence pair task, with more training data and information
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 allows fine-tuning.
State of the Art Natural Language Processing
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Data from GitHub · snapshot Sep 24, 2026