MilaNLProc/bertlang
A web interface to understand language-specific BERT-models
This is a web interface that helps you find and compare language-specific BERT models for various natural language processing tasks. You can input a specific language, task (like sentiment analysis or named entity recognition), and dataset, and it will output information on relevant BERT models, including their reported performance metrics. It's designed for natural language processing researchers and practitioners looking to identify the most suitable pre-trained model for their work.
No commits in the last 6 months.
Use this if you need to quickly identify and compare the performance of language-specific BERT models across different NLP tasks and datasets.
Not ideal if you are looking for independent verification of model performance or need to fine-tune a model yourself.
Stars
18
Forks
4
Language
JavaScript
License
MIT
Category
Last pushed
Apr 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MilaNLProc/bertlang"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DerwenAI/pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Tiiiger/bert_score
BERT score for text generation
BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for...
asyml/texar
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. ...
yohasebe/wp2txt
A command-line tool to extract plain text from Wikipedia dumps with category and section filtering