Instructions to use CAMeL-Lab/readability-arabertv2-d3tok-CE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/readability-arabertv2-d3tok-CE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv2-d3tok-CE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/readability-arabertv2-d3tok-CE") model = AutoModelForSequenceClassification.from_pretrained("CAMeL-Lab/readability-arabertv2-d3tok-CE") - Notebooks
- Google Colab
- Kaggle
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## Model description
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**AraBERTv2+D3Tok+CE** is a readability assessment model that was built by fine-tuning the **AraBERTv2** model with cross-entropy loss (**CE**).
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# AraBERTv2+D3Tok+CE Readability Model
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## Model description
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**AraBERTv2+D3Tok+CE** is a readability assessment model that was built by fine-tuning the **AraBERTv2** model with cross-entropy loss (**CE**).
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