Instructions to use lang-uk/roberta-large-ner-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use lang-uk/roberta-large-ner-uk with spaCy:
!pip install https://huggingface.co/lang-uk/roberta-large-ner-uk/resolve/main/roberta-large-ner-uk-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("roberta-large-ner-uk") # Importing as module. import roberta-large-ner-uk nlp = roberta-large-ner-uk.load() - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -39,9 +39,10 @@ A transformer-based NER model for Ukrainian, trained on a combination of human-a
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## Model Details
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- **Model type:** Transformer-based encoder (spaCy pipeline)
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- **Language
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- **License:** Apache 2.0
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- **Finetuned from model:** `51la5/roberta-large-NER`
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## Usage
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## Model Details
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- **Model type:** Transformer-based encoder (spaCy pipeline)
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- **Language (NLP):** Ukrainian
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- **License:** Apache 2.0
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- **Finetuned from model:** `51la5/roberta-large-NER`
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- **Entity Types (13):** `PERS`, `ORG`, `LOC`, `DATE`, `TIME`, `JOB`, `MON`, `PCT`, `PERIOD`, `DOC`, `QUANT`, `ART`, `MISC`
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## Usage
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