Instructions to use hatmimoha/arabic-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hatmimoha/arabic-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hatmimoha/arabic-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hatmimoha/arabic-ner") model = AutoModelForTokenClassification.from_pretrained("hatmimoha/arabic-ner") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,6 +2,7 @@
|
|
| 2 |
language: ar
|
| 3 |
---
|
| 4 |
# Arabic Named Entity Recognition Model
|
|
|
|
| 5 |
|
| 6 |
Pretrained BERT-based ([arabic-bert-base](https://huggingface.co/asafaya/bert-base-arabic)) Named Entity Recognition model for Arabic.
|
| 7 |
|
|
|
|
| 2 |
language: ar
|
| 3 |
---
|
| 4 |
# Arabic Named Entity Recognition Model
|
| 5 |
+
<a href='https://ko-fi.com/Y8Y71D98TC' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
|
| 6 |
|
| 7 |
Pretrained BERT-based ([arabic-bert-base](https://huggingface.co/asafaya/bert-base-arabic)) Named Entity Recognition model for Arabic.
|
| 8 |
|