kpi6research/Bert-as-a-Library
Bert as a Library is a Tensorflow library for quick and easy training and finetuning of models based on Bert
This is a tool for data scientists and machine learning engineers who work with text data and need to build custom natural language processing (NLP) models. You can provide your own text dataset with corresponding labels, and it will output a fine-tuned Bert model capable of classifying new text or extracting meaningful features from it. This is ideal for practitioners who need to adapt powerful language models for specific tasks like sentiment analysis, topic classification, or named entity recognition.
No commits in the last 6 months.
Use this if you need to quickly train or fine-tune Bert-based models for custom text classification or feature extraction tasks on your own datasets.
Not ideal if you are looking for a pre-built, ready-to-use solution that doesn't require any coding or machine learning expertise.
Stars
12
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jun 29, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kpi6research/Bert-as-a-Library"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
zhihu/cuBERT
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
ThalesGroup/ConceptBERT
Implementation of ConceptBert: Concept-Aware Representation for Visual Question Answering
dimitreOliveira/bert-as-a-service_TFX
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
SapienzaNLP/mosaico
A multilingual open-text semantically annotated interlinked corpus
Statistical-Impossibility/Feline-Project
Domain-adaptive NLP pipeline for feline veterinary NER using BERT