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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30897a94335314df2b94356ee1cb312f2adec87870dfde9178cd052178f2cd9b
- Size of remote file:
- 1.35 kB
- SHA256:
- f66e77b3a4046ce8c173e33fb0da58ac03516886f95f9e4b73abe8017277bd3b
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