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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0309a4e1882324f2887b1198d567e183f88ab6544cb8f24760e587d604c76b2
- Size of remote file:
- 1.35 kB
- SHA256:
- 31e9aebcc51debc6c77fc5fdfce63bf498e78372e73c5e69473ba767dbfc6fa3
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