Instructions to use PopupLink/stanza-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stanza
How to use PopupLink/stanza-ar with Stanza:
import stanza stanza.download("ar") nlp = stanza.Pipeline("ar") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - stanza | |
| - token-classification | |
| library_name: stanza | |
| language: ar | |
| license: apache-2.0 | |
| **Note:** This is the ONNX-converted version of the [original Stanza model](https://huggingface.co/stanfordnlp/stanza-ar) described below. | |
| --- | |
| # Stanza model for Arabic (ar) | |
| Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. | |
| Find more about it in [our website](https://stanfordnlp.github.io/stanza) and our [GitHub repository](https://github.com/stanfordnlp/stanza). | |
| This card and repo were automatically prepared with `hugging_stanza.py` in the `stanfordnlp/huggingface-models` repo | |
| Last updated 2026-06-26 23:07:55.134 |