Instructions to use dchaplinsky/uk_ner_web_trf_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use dchaplinsky/uk_ner_web_trf_base with spaCy:
!pip install https://huggingface.co/dchaplinsky/uk_ner_web_trf_base/resolve/main/uk_ner_web_trf_base-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("uk_ner_web_trf_base") # Importing as module. import uk_ner_web_trf_base nlp = uk_ner_web_trf_base.load() - Notebooks
- Google Colab
- Kaggle
Download ner/moves from dchaplinsky/uk_ner_web_trf_base: direct link, hf CLI and curl.
- Browser
- Download file 251 Bytes
-
https://huggingface.co/dchaplinsky/uk_ner_web_trf_base/resolve/main/ner/moves
- Command line
-
hf download hf://dchaplinsky/uk_ner_web_trf_base/ner/moves
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curl -L -o moves https://huggingface.co/dchaplinsky/uk_ner_web_trf_base/resolve/main/ner/moves
251 Bytes
| ��moves��{"0":{},"1":{"PERS":3450,"LOC":1562,"ORG":1300,"MISC":989},"2":{"PERS":3450,"LOC":1562,"ORG":1300,"MISC":989},"3":{"PERS":3450,"LOC":1562,"ORG":1300,"MISC":989},"4":{"PERS":3450,"LOC":1562,"ORG":1300,"MISC":989,"":1},"5":{"":1}}�cfg��neg_key� |