AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
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Updated
Nov 15, 2023 - Python
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
Transformer-based models implemented in tensorflow 2.x(using keras).
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Unofficial (Golang) Go bindings for the Hugging Face Inference API
A collection of datasets for Ukrainian language
Lightweight self-hosted span annotation tool
Token classification using Phobert Models for Vietnamese
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
CNER: Concept and Named Entity Recognition
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.
Data and code for the paper "ID10M: Idiom Identification in 10 Languages" (NAACL 2022).
Multi-task NLP Annotation Framework
The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.
Generative adversarial approach to most popular NLP tasks
Labeled Russian text token-by-token for training models for NER task based samples got from parsing different resources and generated by ChatGPT.
Building a multilingual NER app with HuggingFace, Gradio and Comet
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