Sentiment Analysis for Tigrinya based on BERT

We pretrain a BERT base-uncased model and finetune it on a Tigrinya Sentiment Analysis dataset.

Usage

from transformers import pipeline

ti_sent = pipeline("sentiment-analysis", model="fgaim/bert-base-ti-sentiment")
ti_sent("ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር")
Output:
[{'label': 'POSITIVE', 'score': 0.9906670451164246}]
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Text Classification
This model can be loaded on the Inference API on-demand.