Text Classification
Transformers
Safetensors
Arabic
bert
qa
arabic
hallucination-detection
camelbert
arabicnlp2026
Eval Results (legacy)
text-embeddings-inference
Instructions to use HassanB4/halluscoring-camelbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HassanB4/halluscoring-camelbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HassanB4/halluscoring-camelbert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HassanB4/halluscoring-camelbert-qa") model = AutoModelForSequenceClassification.from_pretrained("HassanB4/halluscoring-camelbert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fe7888b05a88f7c2166595cbba1f5f2a27adce5f4a4d8731e3f0c2612119fa7
- Size of remote file:
- 5.2 kB
- SHA256:
- ac955565c555e8cbb3750d36506005749b6cfcd2bfe3863b989207e89c861587
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