Instructions to use alimagedayad/ner-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use alimagedayad/ner-ft with spaCy:
!pip install https://huggingface.co/alimagedayad/ner-ft/resolve/main/ner-ft-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ner-ft") # Importing as module. import ner-ft nlp = ner-ft.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from alimagedayad/ner-ft: direct link, hf CLI and curl.
- Browser
- Download file 491 Bytes
-
https://huggingface.co/alimagedayad/ner-ft/resolve/main/meta.json
- Command line
-
hf download hf://alimagedayad/ner-ft/meta.json
-
curl -L -o meta.json https://huggingface.co/alimagedayad/ner-ft/resolve/main/meta.json
491 Bytes
| { | |
| "lang":"en", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.5.2,<3.6.0", | |
| "spacy_git_version":"aea4a96f9", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "ner":[ | |
| "BANK", | |
| "LOCATION", | |
| "OP", | |
| "VENDOR" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "ner" | |
| ], | |
| "components":[ | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "requirements":[ | |
| ] | |
| } |