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:
- 9a4d8df39f022b765ccbc8cacb9586fa10939758ac7289cc7cacac1435bf3b96
- Size of remote file:
- 6.01 MB
- SHA256:
- 801482097833d619649bf0599975a6dbe63471c569f75ab74facb6d099437483
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