How to use peggyes/abena-simcse-twi with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("peggyes/abena-simcse-twi") sentences = [ "Mɛsɔre afei na makɔ kyinkyini kuropɔn no mu, ne mmɔntene so ne nʼadwabirem; na mahwehwɛ deɛ mʼakoma da no so. Enti mehwehwɛɛ no nanso manhunu no.", "Mɛsɔre afei na makɔ kyinkyini kuropɔn no mu, ne mmɔntene so ne nʼadwabirem; na mahwehwɛ deɛ mʼakoma da no so. Enti mehwehwɛɛ no nanso manhunu no.", "Obiara nni ho ɛkwan sɛ ɔtɔ anaa ɔtɔn, gye sɛ wɔde aboa no din anaa nsɛnkyerɛnneɛ a ɛgyina hɔ ma edin no hyɛ ne ho agyiraeɛ.", "“Wogye di sɛ yei fata? Woka sɛ, ‘Onyankopɔn bɛtwitwa agye me.’" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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