NLP-NER

The task of the project: search for an entity in a sentence, in this case, a product article. The BERT model was taken as a basis for additional training. Symbolic vectorization was used. And a tokenizer pre-trained from the same model.

Getting Started

1. Create python-env and activate

python3 -m venv venv
source venv/bin/activate

2. install dependences

pip install -r req.txt

Usage

• File -> final.ipynb This file describes the process of training the model
• File -> test.ipynb This file is about how to use the model in the future.
• Dir -> ner_model contains model's checkpoints

License

This project is licensed under the [License Name] - see the LICENSE file for details.

Contacts

• Telegram: @Menar_qq
• Gmail: johnvoronina@gmail.com