Instructions to use dchaplinsky/uk_ner_web_trf_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use dchaplinsky/uk_ner_web_trf_large with spaCy:
!pip install https://huggingface.co/dchaplinsky/uk_ner_web_trf_large/resolve/main/uk_ner_web_trf_large-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("uk_ner_web_trf_large") # Importing as module. import uk_ner_web_trf_large nlp = uk_ner_web_trf_large.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from dchaplinsky/uk_ner_web_trf_large: direct link, hf CLI and curl.
- Browser
- Download file 582 kB
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https://huggingface.co/dchaplinsky/uk_ner_web_trf_large/resolve/main/ner/model
- Command line
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hf download hf://dchaplinsky/uk_ner_web_trf_large/ner/model
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curl -L -o model https://huggingface.co/dchaplinsky/uk_ner_web_trf_large/resolve/main/ner/model
582 kB
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