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
File size: 1,879 Bytes
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"batch_size": 1,
"input_dtype": "int64",
"input_names": [
"input_ids",
"attention_mask"
],
"labels": [
"academic_calendar",
"academic_programs",
"admissions",
"campus_services",
"contact_and_location",
"courses_and_study_plans",
"exams_and_grades",
"general_university_information",
"graduation",
"library",
"news_and_events",
"out_of_scope",
"registration",
"research_and_postgraduate",
"scholarships_and_aid",
"staff_and_departments",
"student_services",
"technical_support",
"transfer_and_equivalency",
"tuition_and_payments"
],
"max_length": 256,
"model_file": "model_webgpu.onnx",
"model_name": "UBC-NLP/MARBERTv2",
"model_sha256": "1616526da9779a3b39c0700114910207ce709eeeef1c16db3fe6eb4ea69e060f",
"model_size_bytes": 147426496,
"output_name": "logits",
"package_version": 1,
"pooling": "masked_mean",
"quantization": "q8-linear-q4-embedding",
"runtime": "onnxruntime-web/webgpu",
"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
},
"tokenizer_files": [
"tokenizer.json",
"tokenizer_config.json",
"labels.json",
"thresholds.json",
"metadata.json"
],
"validation_report_file": "validation_report.json",
"verification_file": "verification.json"
}
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