Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-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-da-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-da-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-ner") model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01bdf32c850e29e32b210820167695116df412090faeb5ee0b64ccaa06b9be20
- Size of remote file:
- 434 MB
- SHA256:
- 0ab1d9c1150416cee5ec18337472eab7070fffc1e15f67c254a6470dbdbc8248
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