Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-mix-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-mix-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-mix-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-mix-ner") model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-mix-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0db33b66ae479abb773e3eeaad7907e4a251465d4674556131521fe35546f66c
- Size of remote file:
- 1.35 kB
- SHA256:
- 50b6eb92a43bcf306caebd1515aa67cf97b737ff4fe1fab3a799ec25ac2cc40f
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