README.md

---
language:
- "tr"
tags:
- "turkish"
- "pos"
- "dependency-parsing"
base_model: HPLT/hplt_bert_base_tr
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
---

# ltgbert-base-turkish-ud-goeswith

## Model Description

This is a LTG-BERT model pretrained for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [hplt_bert_base_tr](https://huggingface.co/HPLT/hplt_bert_base_tr).

## How to Use

```py
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/ltgbert-base-turkish-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("Ay dağın diğer tarafında yükseldi"))
```