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:
- 603944186c11262bacf95d27c50f91c785111b0d1ce8e5702986770e1cf351be
- Size of remote file:
- 3.38 kB
- SHA256:
- 4b416605fdb4edc9a7a01f7e76cb8c86bf6f01e5f051c63f336895ac1adaca65
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