Instructions to use dchaplinsky/uk_ner_web_trf_13class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use dchaplinsky/uk_ner_web_trf_13class with spaCy:
!pip install https://huggingface.co/dchaplinsky/uk_ner_web_trf_13class/resolve/main/uk_ner_web_trf_13class-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("uk_ner_web_trf_13class") # Importing as module. import uk_ner_web_trf_13class nlp = uk_ner_web_trf_13class.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc4e67eb9d201256d6bc6df4f23bcd957479f6cdb74274ba45af2f1aa85e012f
- Size of remote file:
- 1.04 MB
- SHA256:
- c1e6a722903bc55c43382771f66cf5fe2c2f4001790006490d13b04b58123bb0
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