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:
- 6baf236025ff1588afc51a316259cd4291db600a91c018daacb8fd11ac35edc2
- Size of remote file:
- 436 MB
- SHA256:
- b3cce049e92953b1bea721e81632721782bcdc1153d9ff6320329bd5c3986b52
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