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:
- 5b7edf2d90c9fdb8c2f2cd60239a15dbbaf42d42ea45a9c17202ad0d0fb79d00
- Size of remote file:
- 6.01 MB
- SHA256:
- b6802a1aa6560ae4366b5ddba351841800646048fbcac81236a72e4636a455f6
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