Instructions to use kenkwon/vi_task_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use kenkwon/vi_task_ner with spaCy:
!pip install https://huggingface.co/kenkwon/vi_task_ner/resolve/main/vi_task_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("vi_task_ner") # Importing as module. import vi_task_ner nlp = vi_task_ner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a235b15e893ecc42e69b0a9b54d58a13b2ead8a36e9a6d0ee201f4cb65d871b9
- Size of remote file:
- 132 kB
- SHA256:
- 5abe06e35b2210f36e1084f11de0734821dd7bb78c13836a85ac79ee0f1a4774
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