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 meta.json from kenkwon/vi_task_ner: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
-
https://huggingface.co/kenkwon/vi_task_ner/resolve/main/meta.json
- Command line
-
hf download hf://kenkwon/vi_task_ner/meta.json
-
curl -L -o meta.json https://huggingface.co/kenkwon/vi_task_ner/resolve/main/meta.json
1.27 kB
| { | |
| "lang":"vi", | |
| "name":"task_ner", | |
| "version":"0.0.0", | |
| "description":"This is ner model for task", | |
| "author":"Ch\u00e1nh H\u1ef7", | |
| "email":"hlchy11997@gmail.com", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.7.5,<3.8.0", | |
| "spacy_git_version":"a6d0fc360", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "DATE", | |
| "LOCATION", | |
| "PERSON", | |
| "TASK", | |
| "TIME" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.8979591837, | |
| "ents_p":0.8979591837, | |
| "ents_r":0.8979591837, | |
| "ents_per_type":{ | |
| "TIME":{ | |
| "p":0.9473684211, | |
| "r":0.9473684211, | |
| "f":0.9473684211 | |
| }, | |
| "DATE":{ | |
| "p":0.8723404255, | |
| "r":0.9111111111, | |
| "f":0.8913043478 | |
| }, | |
| "TASK":{ | |
| "p":0.875, | |
| "r":0.875, | |
| "f":0.875 | |
| }, | |
| "PERSON":{ | |
| "p":0.9285714286, | |
| "r":0.8125, | |
| "f":0.8666666667 | |
| } | |
| }, | |
| "tok2vec_loss":196.5795554539, | |
| "ner_loss":122.2195483109 | |
| }, | |
| "requirements":[ | |
| ] | |
| } |