Text Classification
Transformers
PyTorch
Arabic
bert
arabic
sentiment-analysis
natural-language-processing
Eval Results (legacy)
text-embeddings-inference
Instructions to use RafatMohammed/arabic-sentiment-marbertv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RafatMohammed/arabic-sentiment-marbertv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RafatMohammed/arabic-sentiment-marbertv2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RafatMohammed/arabic-sentiment-marbertv2") model = AutoModelForSequenceClassification.from_pretrained("RafatMohammed/arabic-sentiment-marbertv2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K