Instructions to use kenkwon/vi_ner_task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use kenkwon/vi_ner_task with spaCy:
!pip install https://huggingface.co/kenkwon/vi_ner_task/resolve/main/vi_ner_task-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("vi_ner_task") # Importing as module. import vi_ner_task nlp = vi_ner_task.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 520f58270d7f48d25c5cc03528003dfc28e833d373baca9b3475993e6a4d3250
- Size of remote file:
- 131 kB
- SHA256:
- 9cfe9e0d5d1dc13c7b773a0b0210deff0258bcf1dd25d5261ab2f5ea2a45da0b
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