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
Download ner/moves from kenkwon/vi_task_ner: direct link, hf CLI and curl.
- Browser
- Download file 312 Bytes
-
https://huggingface.co/kenkwon/vi_task_ner/resolve/main/ner/moves
- Command line
-
hf download hf://kenkwon/vi_task_ner/ner/moves
-
curl -L -o moves https://huggingface.co/kenkwon/vi_task_ner/resolve/main/ner/moves
312 Bytes
| ��moves� {"0":{},"1":{"TASK":1998,"DATE":631,"TIME":445,"PERSON":253,"LOCATION":2},"2":{"TASK":1998,"DATE":631,"TIME":445,"PERSON":253,"LOCATION":2},"3":{"TASK":1998,"DATE":631,"TIME":445,"PERSON":253,"LOCATION":2},"4":{"TASK":1998,"DATE":631,"TIME":445,"PERSON":253,"LOCATION":2,"":1},"5":{"":1}}�cfg��neg_key� |