biome-text: A Python repository from dcfidalgo

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State-of-the-art and not so state-of-the-art models trained with your own data with simple workflows.
Exploration UI for error analysis with interpretations.
Efficient data reading for (large) datasets in multiple formats and sources (CSV, Parquet, JSON, Elasticsearch, 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

For the UI component to work you need a running Elasticsearch instance. We recommend running Elasticsearch via docker:

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.3.2

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.