Instructions to use MostafaAhmed98/AraBert-Arabic-NER-CoNLLpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MostafaAhmed98/AraBert-Arabic-NER-CoNLLpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MostafaAhmed98/AraBert-Arabic-NER-CoNLLpp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MostafaAhmed98/AraBert-Arabic-NER-CoNLLpp") model = AutoModelForTokenClassification.from_pretrained("MostafaAhmed98/AraBert-Arabic-NER-CoNLLpp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7a4883b0a2d512a3f87dc79f41b9596dcc73d02b1ad466b4bdc41427473e636
- Size of remote file:
- 4.98 kB
- SHA256:
- db6bd1180aa6f3722897c356fa6bf5d2de92a924582a16ee91abe631f83235e8
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