Wailnsar4/hespress-arabic-hierarchical-classifier

text-classification model by Wailnsar4

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Model card & documentation

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This model is a fine-tuned Arabic AraBERT model for hierarchical classification of Arabic news articles. The model is based on aubmindlab/bert-base-arabertv2. The model was fine-tuned on Arabic articles collected from Hespress. After preprocessing and hierarchical classification: Hierarchical labels use the following format: maincategorysubcategory Example: اقتصادالاستثمار This model is intended for educational and research purposes, particularly for Arabic NLP and hierarchical text classification. The model was trained on articles collected from…

Wailnsar4/hespress-arabic-hierarchical-classifier on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Hespress Arabic Hierarchical Text Classifier
  2. Model
  3. Dataset
  4. Main Categories
  5. Training
  6. Usage
  7. Intended Use
  8. Limitations
  9. Project
  10. Author

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Model overview

Wailnsar4/hespress-arabic-hierarchical-classifier is a text-classification model repository published by Wailnsar4 on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-classification
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
135,307,156
Architecture
BertForSequenceClassification
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-09-22T06:22:30.000Z
Last modified
2026-09-22T06:27:23.000Z

Compatibility and lineage

Reported languages: ar

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.

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