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).
Unofficial (Golang) Go bindings for the Hugging Face Inference API
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Token classification using Phobert Models for Vietnamese
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.
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
Fine-tuning CamemBERT for French keywords extraction on custom dataset.
Multi-task NLP Annotation Framework
summer internship project @ JetBrains Research
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
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.
Data and code for the paper "ID10M: Idiom Identification in 10 Languages" (NAACL 2022).
Annotating spans in generated texts
CNER: Concept and Named Entity Recognition
A collection of datasets for Ukrainian language
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.
Token Classification task on the Yes We Can dataset
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