Token Classification
spaCy
Arabic
arabic
named-entity-recognition
ner
finance
financial-ner
information-extraction
ontology-aligned
Eval Results (legacy)
Instructions to use Muhsabrys/AMWAL_ArFinNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Muhsabrys/AMWAL_ArFinNER with spaCy:
!pip install https://huggingface.co/Muhsabrys/AMWAL_ArFinNER/resolve/main/AMWAL_ArFinNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("AMWAL_ArFinNER") # Importing as module. import AMWAL_ArFinNER nlp = AMWAL_ArFinNER.load() - Notebooks
- Google Colab
- Kaggle
| from setuptools import setup | |
| setup( | |
| name="amwal", | |
| version="0.1.0", | |
| description="AMWAL: Arabic Financial Named Entity Recognition (spaCy)", | |
| py_modules=["amwal"], | |
| install_requires=[ | |
| "spacy>=3.7.0", | |
| "huggingface_hub>=0.20.0", | |
| ], | |
| ) | |