Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-da-poetry 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-poetry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-da-poetry")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-poetry") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-da-poetry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a5fcffc68fb44996825c091bd37ca9880a68eb29140815b4f924acc84e8b6c6
- Size of remote file:
- 436 MB
- SHA256:
- 796c997c7600fed4fa7eccdd2ed9e693e8a7c644d181ee6143719b0c02ad7a3c
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