|
--- |
|
language: |
|
- "be" |
|
tags: |
|
- "belarusian" |
|
- "token-classification" |
|
- "pos" |
|
- "dependency-parsing" |
|
base_model: KoichiYasuoka/deberta-base-belarusian-upos |
|
datasets: |
|
- "universal_dependencies" |
|
license: "cc-by-sa-4.0" |
|
pipeline_tag: "token-classification" |
|
--- |
|
|
|
# deberta-base-belarusian-ud-goeswith |
|
|
|
## Model Description |
|
|
|
This is a DeBERTa(V2) model pre-trained on Belarusian texts for POS-tagging and dependency-parsing (using `goeswith` for subwords), derived from [deberta-base-belarusian-upos](https://huggingface.co/KoichiYasuoka/deberta-base-belarusian-upos). |
|
|
|
## How to Use |
|
|
|
```py |
|
from transformers import pipeline |
|
nlp=pipeline("universal-dependencies","KoichiYasuoka/deberta-base-belarusian-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple") |
|
``` |
|
|
|
|
