README.md

---
language:
- "en"
tags:
- "english"
- "token-classification"
- "pos"
- "dependency-parsing"
base_model: answerdotai/ModernBERT-large
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
---

# modernbert-large-english-ud-triangular

## Model Description

This is a ModernBERT model for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large).

## How to Use

```py
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/modernbert-large-english-ud-triangular",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("I saw a horse yesterday which had no name"))
```