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Biome-text is a light-weight open source Natural Language Processing toolbox built with AllenNLP
Natural Language Processing library built with AllenNLP
State-of-the-art and not so state-of-the-art models trained with your own data with simple workflows.
Efficient data reading for (large) datasets in multiple formats and sources (CSV, Parquet, JSON, etc.).
Modular configuration and extensibility of models, datasets and training runs programmatically or via config files.
Use via cli
or as plain Python (e.g., inside a Jupyter Notebook)
Compatible with AllenNLP
For the installation we recommend setting up a fresh conda environment:
conda create -n biome python~=3.7.0 pip>=20.3.0
conda activate biome
Once the conda environment is activated, you can install the latest release via pip:
pip install -U biome-text
After installing biome.text, the best way to test your installation is by running the biome.text cli command:
biome --help
The best way to see how biome.text works is to go through our first tutorial.
Please refer to our documentation for more tutorials, detailed user guides and how you can contribute to biome.text.
The code in this project is licensed under Apache 2 license.
FAQs
Biome-text is a light-weight open source Natural Language Processing toolbox built with AllenNLP
We found that biome-text demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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