Instructions to use abdusah/arabert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/arabert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abdusah/arabert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abdusah/arabert-ner") model = AutoModelForTokenClassification.from_pretrained("abdusah/arabert-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3689405c5841d6e9947c9897bead5f6a642ba62dc1398b750928a3a201871fdb
- Size of remote file:
- 539 MB
- SHA256:
- 95b91a2e665bfd5df496cf791223004978823c35688e0b08bdf869b51b8df8cb
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