Text Classification
Transformers
Safetensors
Arabic
bert
arabic
nlp
saudi
dialectal-arabic
complaints
restaurant-reviews
aspect-classification
ambience-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use FerasMad/arabic-complaints-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FerasMad/arabic-complaints-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FerasMad/arabic-complaints-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FerasMad/arabic-complaints-classifier") model = AutoModelForSequenceClassification.from_pretrained("FerasMad/arabic-complaints-classifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "التوصيل": 0, | |
| "السعر والقيمة": 1, | |
| "النظافة": 2, | |
| "جودة الطعام": 3, | |
| "خدمة الموظفين": 4, | |
| "دقة الطلب": 5, | |
| "عامة": 6, | |
| "وقت الانتظار": 7 | |
| } |