Text Classification
Transformers
Safetensors
Arabic
bert
qa
arabic
hallucination-detection
camelbert
arabicnlp2026
Eval Results (legacy)
text-embeddings-inference
Instructions to use NAMAA-Space/halluscoring-camelbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/halluscoring-camelbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NAMAA-Space/halluscoring-camelbert-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/halluscoring-camelbert-qa") model = AutoModelForSequenceClassification.from_pretrained("NAMAA-Space/halluscoring-camelbert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NAMAA-Space/halluscoring-camelbert-qa: direct link, hf CLI and curl.
- Browser
- Download file 776 kB
-
https://huggingface.co/NAMAA-Space/halluscoring-camelbert-qa/resolve/main/tokenizer.json
- Command line
-
hf download hf://NAMAA-Space/halluscoring-camelbert-qa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NAMAA-Space/halluscoring-camelbert-qa/resolve/main/tokenizer.json
776 kB
File too large to display, you can check the raw version instead.