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Embedders

With embedders, you can easily convert your texts into sentence- or token-level embeddings within a few lines of code. Use cases for this include similarity search between texts, information extraction such as named entity recognition, or basic text classification.
Alternatives To Embedders
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Simpletransformers3,883pypi simpletransformers} Downloads2276 months ago282August 07, 202377apache-2.0Python
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Kashgari2,141pypi kashgari-tf} Downloads113 years ago11October 18, 201932apache-2.0Python
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.
Universal Data Tool1,612
2 years ago173mitJavaScript
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Transformers Tutorials777
6 months ago18mitJupyter Notebook
Github repo with tutorials to fine tune transformers for diff NLP tasks
Parsbert222
a year ago6apache-2.0Jupyter Notebook
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
Shukongdashi168
10 months ago2HTML
使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统
Teanaps92
a year ago1apache-2.0Jupyter Notebook
자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Deepsequenceclassification78
7 years ago1gpl-2.0Python
Deep neural network based model for sequence to sequence classification
Europeananp Ner55
6 years agootherJava
Named Entities Recognition Annotator Tool for Europeana Newspapers
Horus Ner47
4 years ago21apache-2.0Python
HORUS: A framework to boost NLP tasks
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Embedders vs Simpletransformers
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