HugAILab/HugNLP
CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!π
This library helps natural language processing (NLP) researchers build and apply advanced language models more easily. It takes raw text data and, through various techniques, outputs models capable of tasks like text classification, information extraction, or generating human-like text. It's designed for NLP researchers and practitioners who work with language models.
393 stars. No commits in the last 6 months.
Use this if you are an NLP researcher or practitioner looking for a unified toolkit to develop and apply state-of-the-art language models efficiently, especially if you work with Hugging Face Transformers.
Not ideal if you are an end-user without a technical background in NLP or if you need a pre-packaged, ready-to-use application without customization.
Stars
393
Forks
48
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 31, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/HugAILab/HugNLP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
azukds/tubular
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
huggingface/course
The Hugging Face course on Transformers
huggingface/audio-transformers-course
The Hugging Face Course on Transformers for Audio
rickiepark/nlp-with-transformers
<νΈλμ€ν¬λ¨Έλ₯Ό νμ©ν μμ°μ΄ μ²λ¦¬> μμ μ½λλ₯Ό μν μ μ₯μμ λλ€.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.