Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-ca-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/bert-base-arabic-camelbert-ca-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-ca-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-ner") model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-ca-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b0803268859cf786813a792fb98bacf155f4dfa4fe38bc062a294895ef8aa29
- Size of remote file:
- 434 MB
- SHA256:
- bb9c1216b2fde7ca052f91ab26cc409a086e27ef2bfd74aebc820ceb8a64a90d
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