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african-sentiment-id
AfriSpeech/african-sentiment-id
african-sentiment-id is a machine learning model from AfriSpeech. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fasttext. The card lists the license as mit.
Sentiment classification (positive/ negative) for African languages, trained on universal G2P orthography so it works across all 693 languages without per-language conditioning.
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100
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8.7 GB
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0
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Repo makeup
Click a slice to open those files.
.bin6.7 GB · 99%
At a glance
- Library
- fasttext
- License
- mit
- Model type
- fasttext
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 23, 2026
- SHA
- 4a4bc1c5
Model card
From the Hugging Face model README
Universal African Sentiment Classifier
Sentiment classification (positive/ negative) for African languages, trained on universal G2P orthography so it works across all 693 languages without per-language conditioning.
Models
model.bin/model.ftz— FastText supervised classifier.onnx/— Fine-tuned BERT-tiny exported to ONNX.
Usage
# FastText
import fasttext
model = fasttext.load_model("model.bin")
model.predict("a universal g2p sentence")
# ONNX transformer (onnxruntime + tokenizer)
import onnxruntime, transformers
sess = onnxruntime.InferenceSession("onnx/model.onnx")
tok = transformers.AutoTokenizer.from_pretrained("onnx/")
- Library
- fasttext
- Type
- fasttext
- License
- mit
- Languages
- mul
- Created
- Sep 22, 2026
- Updated
- Sep 23, 2026