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
- Xet hash:
- 3e7ca0506c17bdf6b9357aa3485aff7142f3b10f9f073d957b5a2ec74b4bae1b
- Size of remote file:
- 2.25 GB
- SHA256:
- 650bfb675d2fe1a4626b4e1244c80dd1a099d5c81db5640b0b197b8dec4f2166
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.