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:
- 4ba556745bd02462e1adf758f10a8b30b3c32a6944db4e2e75934e449c9790c6
- Size of remote file:
- 436 MB
- SHA256:
- 042577739bd95400da6d5de185850ba5b99140550a1c8b62244b0766d1788d63
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