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
| { | |
| "baseline_export": { | |
| "atol": 0.0001, | |
| "examples_checked": 1, | |
| "input_shape": [ | |
| 1, | |
| 256 | |
| ], | |
| "maximum_absolute_logit_difference": 5.7220458984375e-06, | |
| "mean_absolute_logit_difference": 1.6570090792811243e-06, | |
| "opset": 18, | |
| "passed": true, | |
| "rtol": 0.001, | |
| "static_shapes": true | |
| }, | |
| "examples_checked": 3, | |
| "maximum_absolute_logit_difference": 0.24686908721923828, | |
| "maximum_allowed_logit_difference": 0.35, | |
| "mean_absolute_logit_difference": 0.029214151203632355, | |
| "passed": true | |
| } | |