ipipan/nlpre_trankit_nkjp_xlm-roberta-base_nkjp-by-name

Model description

• Morphosyntactic analyzer: Trankit
• Tagset: NKJP
• Embedding vectors: XLM-RoBERTa-Base
• Dataset: NLPrePL-NKJP-fair-by-name (https://huggingface.co/datasets/ipipan/nlprepl)

How to use

Clone

git clone [email protected]:ipipan/nlpre_trankit_nkjp_xlm-roberta-base_nkjp-by-name

Load model

import trankit

model_path = './nlpre_trankit_nkjp_xlm-roberta-base_nkjp-by-name'

trankit.verify_customized_pipeline(
    category='customized-mwt', # pipeline category
    save_dir=model_path, # directory used for saving models in previous steps
    embedding_name='xlm-roberta-base' # embedding version that we use for training our customized pipeline, by default, it is `xlm-roberta-base`
)

model = trankit.Pipeline(lang='customized-mwt', cache_dir=model_path, embedding='xlm-roberta-base')