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--- |
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language: |
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- "sr" |
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tags: |
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- "serbian" |
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- "token-classification" |
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- "pos" |
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- "dependency-parsing" |
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base_model: jerteh/gpt2-orao |
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datasets: |
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- "universal_dependencies" |
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license: "cc-by-sa-4.0" |
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pipeline_tag: "token-classification" |
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widget: |
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- text: "Да има сира и масла и моја би мати знала гибати гибаницу." |
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- text: "Da ima sira i masla i moja bi mati znala gibati gibanicu." |
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--- |
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# gpt2-large-serbian-upos |
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## Model Description |
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This is a GPT-2 model in Serbian (Cyrillic and Latin) for POS-tagging and dependency-parsing, derived from [gpt2-orao](https://huggingface.co/jerteh/gpt2-orao). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech) and [FEATS](https://universaldependencies.org/u/feat/). |
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## How to Use |
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```py |
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from transformers import pipeline |
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nlp=pipeline("upos","KoichiYasuoka/gpt2-large-serbian-upos",trust_remote_code=True,aggregation_strategy="simple") |
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``` |
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or |
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```py |
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import esupar |
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nlp=esupar.load("KoichiYasuoka/gpt2-large-serbian-upos") |
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``` |
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## See Also |
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[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models |
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