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
Token classification using Phobert Models for Vietnamese
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
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.
Multi-task NLP Annotation Framework
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
An NLP Java Application that detects Names, organizations, and locations in a text by running Hugging face's Roberta NER model using ONNX runtime and Deep Java Library.
Generative adversarial approach to most popular NLP tasks
The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.
MAPLEv2 - Multi-task Approach for generating blackout Poetry with Linguistic Evaluation
Identify if each of the words in a Persian sentence need a kasr-e-ezafeh tag or not.
Building a multilingual NER app with HuggingFace, Gradio and Comet
Code for the paper : Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts
Fine tuning 🤗 transformer model for softskill NER task
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