Rishit-dagli/Fast-Transformer
An implementation of Additive Attention
This is a developer tool that provides a TensorFlow implementation of the Fastformer model, which uses additive attention for efficient processing of long text sequences. It takes long text as input and outputs processed sequences, enabling faster and more effective text modeling. Machine learning engineers and researchers working on natural language processing tasks would use this.
148 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher building models that need to process very long text sequences efficiently using TensorFlow.
Not ideal if you are looking for an out-of-the-box solution for text analysis or if you are not comfortable working with TensorFlow and deep learning model implementations.
Stars
148
Forks
22
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 15, 2022
Commits (30d)
0
Dependencies
3
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