Instructions to use stanfordnlp/stanza-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stanza
How to use stanfordnlp/stanza-et with Stanza:
import stanza stanza.download("et") nlp = stanza.Pipeline("et") - Notebooks
- Google Colab
- Kaggle
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Download README.md from stanfordnlp/stanza-et: direct link, hf CLI and curl.
- Browser
- Download file 681 Bytes
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https://huggingface.co/stanfordnlp/stanza-et/resolve/main/README.md
- Command line
-
hf download hf://stanfordnlp/stanza-et/README.md
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curl -L -o README.md https://huggingface.co/stanfordnlp/stanza-et/resolve/main/README.md
681 Bytes
metadata
tags:
- stanza
- token-classification
library_name: stanza
language: et
license: apache-2.0
Stanza model for Estonian (et)
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 and our GitHub repository.
This card and repo were automatically prepared with hugging_stanza.py in the stanfordnlp/huggingface-models repo
Last updated 2026-09-29 19:39:11.133