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Upload mBERT Sepedi sentiment classifier

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  1. README.md +82 -0
  2. config.json +35 -0
  3. model.safetensors +3 -0
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +15 -0
README.md ADDED
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+ ---
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+ language:
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+ - nso
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+ license: apache-2.0
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+ tags:
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+ - text-classification
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+ - sentiment-analysis
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+ - sepedi
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+ - northern-sotho
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+ - african-languages
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+ - community-sovereignty
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+ pipeline_tag: text-classification
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+ ---
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+
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+ # Sepedi Sentiment Classifier v1.0
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+
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+ **Developer:** TSEBO SOVEREIGN TECH | Licensed to Sediba AI NPC
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+ **Language:** Sepedi / Northern Sotho (nso)
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+ **Task:** Sentiment Classification
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+ **License:** Apache-2.0 + Community Sovereignty License
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+
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+ ## Model Description
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+
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+ BERT-based sentiment classifier for Sepedi. Trained on 1,495,728 professional linguistic texts from SADiLaR (South African Centre for Digital Language Resources).
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+
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+ This is the **first public sentiment classifier for Sepedi**, developed as part of the **Sediba AI** community intelligence platform serving Limpopo.
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ classifier = pipeline('text-classification',
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+ model='Sediba-AI/sepedi-sentiment-classifier')
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+
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+ result = classifier('Ubuntu o motle')
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+ print(result)
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+ ```
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+
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+ ## Training Data
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+
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+ | Source | Texts | Share |
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+ |--------|-------|-------|
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+ | SADILAR NCHLT Annotated Corpus | 1,423,467 | 95% |
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+ | Lwazi Dictionaries | 72,261 | 5% |
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+ | **Total** | **1,495,728** | **100%** |
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+
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+ ## Model Details
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+
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+ - **Base Model:** BERT (bert-base-multilingual-cased)
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+ - **Framework:** Hugging Face Transformers
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+ - **Training Samples:** 1,495,728
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+ - **Labels:** POSITIVE, NEGATIVE, NEUTRAL
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+ - **Accuracy:** 100% on internal test set (n=40)
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+
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+ ## Governance
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+
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+ **Data Sovereignty:** Yarena Framework (Sediba AI governance layer)
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+ **Community Benefit:** Kutollo Exchange (75% Community / 15% NPC / 10% Developer)
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+ **Consent Model:** FPIC (Free, Prior and Informed Consent)
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{sediba_ai_sepedi_sentiment_2026,
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+ title={Sepedi Sentiment Classifier: Community-Sovereign NLP},
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+ author={Lemekoana, Lehlohonolo Owen and TSEBO SOVEREIGN TECH},
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+ year={2026},
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+ publisher={Hugging Face},
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+ url={https://huggingface.co/Sediba-AI/sepedi-sentiment-classifier}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Dual-licensed under Apache-2.0 (research use) and Community Sovereignty License (commercial use).
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+
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+ ---
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+
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+ **Developed by:** TSEBO SOVEREIGN TECH (Pty) Ltd
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+ **For:** Sediba AI NPC | Mankweng, Limpopo, South Africa
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+ **GitHub:** [sediba-ai](https://github.com/sediba-ai)
config.json ADDED
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+ {
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "pooler_type": "first_token_transform",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "5.8.1",
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+ "type_vocab_size": 2,
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+ "use_cache": false,
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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