Instructions to use universalner/uner_qaf_ara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_qaf_ara with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_qaf_ara")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_qaf_ara") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_qaf_ara") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fc521e7030e02d15e0993470889624064d4b5c5d93a378d1a65ebd58b95c489
- Size of remote file:
- 4.02 kB
- SHA256:
- 062f04e13a442c0f379221b604343f41b6c41efd521770ce1b9e472bc7f4c23d
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