Upload notebook.ipynb
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notebook.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# AMWAL: Arabic Financial Named Entity Recognition (NER)\n",
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"\n",
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"This notebook demonstrates the **correct and supported way** to use the AMWAL model.\n",
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"\n",
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"> โ ๏ธ **Important**: Do **not** use `spacy.load(\"AMWAL_ArFinNER\")`.\n",
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"> This model must be loaded via the provided `load_ner()` API.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Install dependencies\n",
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"!pip install -q spacy huggingface_hub\n",
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"!pip install -q git+https://huggingface.co/Muhsabrys/AMWAL_ArFinNER\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Correct usage\n",
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"from amwal import load_ner\n",
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"\n",
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"ner = load_ner()\n",
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"\n",
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"text = \"ุฃุนูู ุตูุฏูู ูุทุฑ ุงูุณูุงุฏู ุนู ุงุณุชุซู
ุงุฑ ุจููู
ุฉ 500 ู
ูููู ุฏููุงุฑ ุฃู
ุฑููู ูู ุณูุฏุงุช ุญููู
ูุฉ ูุงุจุงููุฉ ูู ุทูููู.\"\n",
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"result = ner(text)\n",
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"\n",
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"result\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Alternative: Load directly from Hugging Face without installation\n",
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"\n",
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"This method is useful if you do not want to install the package system-wide."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from huggingface_hub import snapshot_download\n",
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"import sys\n",
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"\n",
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"repo_path = snapshot_download(\"Muhsabrys/AMWAL_ArFinNER\")\n",
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"sys.path.append(repo_path)\n",
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"\n",
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"from amwal import load_ner\n",
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"ner = load_ner(local_path=repo_path)\n",
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"\n",
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"ner(\"ุฃุนูู ุตูุฏูู ูุทุฑ ุงูุณูุงุฏู ุนู ุงุณุชุซู
ุงุฑ ุจููู
ุฉ 500 ู
ูููู ุฏููุงุฑ ุฃู
ุฑููู ูู ุณูุฏุงุช ุญููู
ูุฉ ูุงุจุงููุฉ ูู ุทูููู.\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Notes\n",
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"\n",
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"- AMWAL is a **spaCy-based** NER system.\n",
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"- It is **not compatible** with Hugging Face Transformers APIs.\n",
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"- Always use the `load_ner()` function provided by the package.\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"version": "3.x"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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