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
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## Training Corpus
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The training corpus is made of 378.000 tokens (14.000 sentences) collected from the Web and annotated manually.
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## Results
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## Training Corpus
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The training corpus is made of 378.000 tokens (14.000 sentences) collected from the Web and annotated manually.
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## Results
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