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
MARBERTv2 model
#2
by machile - opened
hi. I am asking, is this model related to or published in a scientific paper or article?
Hi machile,
No, it's not published in any scientific paper/article, but you can find all needed information regarding fine-tuning/citation in the model card.
Let me know if you need anything else.