Text Classification
Transformers
PyTorch
Safetensors
Arabic
Egyptian Arabic
Moroccan Arabic
bert
text-embeddings-inference
Instructions to use IbrahimAmin/marbertv2-arabic-written-dialect-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IbrahimAmin/marbertv2-arabic-written-dialect-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IbrahimAmin/marbertv2-arabic-written-dialect-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IbrahimAmin/marbertv2-arabic-written-dialect-classifier") model = AutoModelForSequenceClassification.from_pretrained("IbrahimAmin/marbertv2-arabic-written-dialect-classifier") - Notebooks
- Google Colab
- Kaggle
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# 🏷️ Model Card: marbertv2-arabic-written-dialect-classifier
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**Model Name:** `marbertv2-arabic-written-dialect-classifier`
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**Author:** [IbrahimAmin](https://huggingface.co/IbrahimAmin)
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**Base Model:** `UBC-NLP/MARBERTv2`
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**Languages:** Arabic (dialectal + MSA)
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# 🏷️ Model Card: marbertv2-arabic-written-dialect-classifier
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**Model Name:** `marbertv2-arabic-written-dialect-classifier`
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**Base Model:** `UBC-NLP/MARBERTv2`
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**Languages:** Arabic (dialectal + MSA)
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**Author:** [IbrahimAmin](https://huggingface.co/IbrahimAmin)
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