Instructions to use dchaplinsky/uk_ner_web_trf_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use dchaplinsky/uk_ner_web_trf_best with spaCy:
!pip install https://huggingface.co/dchaplinsky/uk_ner_web_trf_best/resolve/main/uk_ner_web_trf_best-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("uk_ner_web_trf_best") # Importing as module. import uk_ner_web_trf_best nlp = uk_ner_web_trf_best.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0af20f32a18544555f3b9305f90109dbddc4671f0472d190a8e30ff8a48e696
- Size of remote file:
- 1.43 GB
- SHA256:
- 398976f65102f25aa77c29e64e504adb8304dae515de1237a3848d5019c4f216
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