sentence-transformers How to use am-azadi/KaLM-embedding-multilingual-mini-v1_Fine_Tuned_1e with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("am-azadi/KaLM-embedding-multilingual-mini-v1_Fine_Tuned_1e")
sentences = [
"Blooming Canals of Venice, Italy. by: [IG] ",
"This comparison shows the values of gasoline in Cádiz and in Gibraltar in 2021 The comparison of fuel prices circulates in Spain at least since 2018",
"Genuine image of a Venice canal laden with lotus blossoms The lotus blossoms were digitally inserted into this image by a graphic artist",
"PT deputy presented PL for police to carry unloaded weapons Bill \"5439/2022\" for police officers to carry unloaded weapons does not exist"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
