Text Classification
Transformers
ONNX
Safetensors
Arabic
arauni
multi-label-classification
arabic
university-chatbot
marbertv2
preview
custom_code
webgpu
Eval Results (legacy)
Instructions to use NajahUniv/AraUni-MARBERTv2-Intent-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NajahUniv/AraUni-MARBERTv2-Intent-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NajahUniv/AraUni-MARBERTv2-Intent-Classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("NajahUniv/AraUni-MARBERTv2-Intent-Classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "fallback_labels": [], | |
| "global_threshold": 0.5, | |
| "metric": "macro_f1", | |
| "mode": "tuned_global", | |
| "score": 0.9873737127097671, | |
| "thresholds": { | |
| "academic_calendar": 0.5, | |
| "academic_programs": 0.5, | |
| "admissions": 0.5, | |
| "campus_services": 0.5, | |
| "contact_and_location": 0.5, | |
| "courses_and_study_plans": 0.5, | |
| "exams_and_grades": 0.5, | |
| "general_university_information": 0.5, | |
| "graduation": 0.5, | |
| "library": 0.5, | |
| "news_and_events": 0.5, | |
| "out_of_scope": 0.5, | |
| "registration": 0.5, | |
| "research_and_postgraduate": 0.5, | |
| "scholarships_and_aid": 0.5, | |
| "staff_and_departments": 0.5, | |
| "student_services": 0.5, | |
| "technical_support": 0.5, | |
| "transfer_and_equivalency": 0.5, | |
| "tuition_and_payments": 0.5 | |
| } | |
| } | |