sentence-transformers How to use 2ADT-Consulting/susu-sentence-encoder-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("2ADT-Consulting/susu-sentence-encoder-v1")
sentences = [
"Il leur donna cet ordre: «Vous transmettrez ce message à mon seigneur Esaü: Voici ce que dit ton serviteur Jacob: J'ai séjourné chez Laban et j'y suis resté jusqu'à maintenant.",
"I na fe nde to, i naxa gbata sigafe ra kiiti banxi, barima xa fe gbɛtɛ minima i mu naxan kolon, na nɔma i rayaagide i dɔxɔboore ya xɔri.",
"Wo xa sɔɔrie luxi nɛ alɔ tugumi naxee na tɛtɛ fari gɛɛsɛgɛ, kɔnɔ soge na te, e tugan, e siga yire mixi mu dɛnnaxɛ kolon.",
"A naxa a fala e bɛ, «Wo yi nan falama n marigi Esayu bɛ, ‹I xa konyi di Yaxuba naxɛ, N bara bu Laban xɔnyi han ya."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
