https://github.com/argilla-io/biome-text
Custom Natural Language Processing with big and small models 🌲🌱
https://github.com/argilla-io/biome-text
allennlp data-science natural-language-processing nlp pytorch
Last synced: 9 months ago
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Custom Natural Language Processing with big and small models 🌲🌱
- Host: GitHub
- URL: https://github.com/argilla-io/biome-text
- Owner: argilla-io
- License: other
- Archived: true
- Created: 2019-03-05T09:52:16.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-09-08T10:14:06.000Z (almost 5 years ago)
- Last Synced: 2024-12-29T06:19:45.285Z (over 1 year ago)
- Topics: allennlp, data-science, natural-language-processing, nlp, pytorch
- Language: Python
- Homepage: https://recognai.github.io/biome-text/
- Size: 78.7 MB
- Stars: 68
- Watchers: 7
- Forks: 7
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.rst
- License: LICENSE.txt
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README
Natural Language Processing library built with AllenNLP
## Quick Links
- [Documentation](https://recognai.github.io/biome-text/)
## Features
* 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**
## Installation
For the installation we recommend setting up a fresh [conda](https://docs.conda.io/en/latest/miniconda.html) environment:
```shell script
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:
````shell script
pip install -U biome-text
````
After installing *biome.text*, the best way to test your installation is by running the *biome.text* cli command:
```shell script
biome --help
```
## Get started
The best way to see how *biome.text* works is to go through our [first tutorial](https://recognai.github.io/biome-text/master/documentation/tutorials/1-Training_a_text_classifier.html).
Please refer to our [documentation](https://recognai.github.io/biome-text) for more tutorials, detailed user guides and how you can [contribute](https://recognai.github.io/biome-text/master/documentation/community/1-contributing.html) to *biome.text*.
## Licensing
The code in this project is licensed under Apache 2 license.