dayyass/pytorch-ner
Pipeline for training NER models using PyTorch.
This project helps developers quickly train Named Entity Recognition (NER) models using PyTorch. You provide text data with separated tokens and their corresponding labels, and it outputs a trained NER model, an optional ONNX model for deployment, and mappings for tokens and labels. It's designed for machine learning engineers and data scientists who need to build custom NER solutions.
No commits in the last 6 months. Available on PyPI.
Use this if you are an AI/ML developer who needs to train a custom Named Entity Recognition model for your specific text data, without writing extensive boilerplate code.
Not ideal if you are looking for an out-of-the-box NER solution for end-users, or if you don't have experience with machine learning model training.
Stars
56
Forks
8
Language
Python
License
MIT
Category
Last pushed
Jul 19, 2022
Commits (30d)
0
Dependencies
8
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