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:
- 30b35da45682d815c54bbe20938021e785b5398bfb733e766975962a96a44dd2
- Size of remote file:
- 440 MB
- SHA256:
- 3a70dc2fa360ac2997727c20ee7a91e028595f2176238cac909ab79c9e5e3e29
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