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Create README.md
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README.md
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# Model description
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- Morphosyntactic analyzer: Trankit
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- Tagset: UD
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- Embedding vectors: XLM-RoBERTa-Large
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- Dataset: NLPrePL-NKJP-fair-by-name (https://huggingface.co/datasets/ipipan/nlprepl)
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# How to use
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## Clone
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```
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git clone [email protected]:ipipan/nlpre_trankit_ud_xlm-roberta-large_nkjp-by-name
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```
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## Load model
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```
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import trankit
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model_path = './nlpre_trankit_ud_xlm-roberta-large_nkjp-by-name'
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trankit.verify_customized_pipeline(
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category='customized-mwt', # pipeline category
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save_dir=model_path, # directory used for saving models in previous steps
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embedding_name='xlm-roberta-large' # embedding version that we use for training our customized pipeline, by default, it is `xlm-roberta-base`
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)
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model = trankit.Pipeline(lang='customized-mwt', cache_dir=model_path, embedding='xlm-roberta-large')
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```
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