jidasheng/bi-lstm-crf
A PyTorch implementation of the BI-LSTM-CRF model.
This is a developer tool for building advanced natural language processing models. It helps machine learning engineers or data scientists create custom models for 'sequence tagging' tasks. You provide labeled text data as input, and it outputs a trained model that can identify and categorize specific elements within new text.
260 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or data scientist looking to implement a highly optimized BI-LSTM-CRF model for NLP sequence tagging within a PyTorch environment.
Not ideal if you are looking for a pre-trained model or a no-code solution for text analysis, as this requires coding knowledge to set up and train.
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260
Forks
46
Language
Python
License
MIT
Category
Last pushed
Oct 30, 2024
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