YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
SentenceChunking‑mBERT‑Afanoromo
Model
HybridSentenceChuLo
- Backbone:
Davlan/bert-base-multilingual-cased-finetuned-amharic - Task: Afan Oromo / Amharic / Tigrinya News Classification
- Architecture:
- Sentence selection (Top‑K)
- Chunked BERT encoding
- Token‑level attention
- Chunk‑level Transformer
Dataset
News Article Dataset
Stratified split (train / val / test)
Labels
{ "0": "Politics", "1": "business ", "2": "health", "3": "sport", "4": "technology" }
Usage
This is a custom PyTorch model.
Load weights using HybridSentenceChuLo class.
Metrics
Macro‑F1 optimized on validation set.
- Downloads last month
- 10
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support