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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature5aa8410 -
Update README.md
Verified signaturebaa8919 -
Update README.md
Verified signature12f8d7f -
Update README.md
Verified signature10c5122 -
Update README.md
Verified signaturec4f926c -
Update README.md
Verified signature1f819de -
Update README.md
Verified signature3717468 -
Update README.md
Verified signature96ba4db
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (03d41e43281c96f4c7ba22b0733d4a77ad25ac5e)1a60ce0 -
Update README.md
Verified signature76ab7dd
-
Update README.md
Verified signature6b77562 -
Upload folder using huggingface_hub
Verified signaturee181a95
-
initial commit
Verified signature5a64e02