Instructions to use MutazYoune/Arabic-NER-PII-patterns_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MutazYoune/Arabic-NER-PII-patterns_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MutazYoune/Arabic-NER-PII-patterns_small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MutazYoune/Arabic-NER-PII-patterns_small") model = AutoModelForTokenClassification.from_pretrained("MutazYoune/Arabic-NER-PII-patterns_small") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("MutazYoune/Arabic-NER-PII-patterns_small")
model = AutoModelForTokenClassification.from_pretrained("MutazYoune/Arabic-NER-PII-patterns_small")Quick Links
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Paper for MutazYoune/Arabic-NER-PII-patterns_small
Paper • 1910.09700 • Published • 54
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MutazYoune/Arabic-NER-PII-patterns_small")