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
- Xet hash:
- e9177d350a3a63c788d82d14d806139d71be664a2182f1f0cff699348c87b126
- Size of remote file:
- 440 MB
- SHA256:
- 3764c2575a6db5ed5efb4ff633f5067c137243e997bff6b3037811299594b70d
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