KoichiYasuoka's picture
initial release
2f68ae9
|
raw
history blame contribute delete
No virus
724 Bytes
---
language:
- "be"
tags:
- "belarusian"
- "token-classification"
- "pos"
base_model: HPLT/hplt_bert_base_be
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
---
# ltgbert-base-belarusian-upos
## Model Description
This is a LTG-BERT model for POS-tagging, derived from [hplt_bert_base_be](https://huggingface.co/HPLT/hplt_bert_base_be). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/).
## How to Use
```py
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/ltgbert-base-belarusian-upos",trust_remote_code=True,aggregation_strategy="simple")
```