|
--- |
|
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")) |
|
``` |
|
|
|
|