sentence-transformers How to use redis/langcache-embed-v3-small with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("redis/langcache-embed-v3-small")
sentences = [
"\"How much would I need to narrate a \"\"Let's Play\"\" video in order to make money from it on YouTube?\"",
"How much money do people make from YouTube videos with 1 million views?",
"\"How much would I need to narrate a \"\"Let's Play\"\" video in order to make money from it on YouTube?\"",
"\"Does the sentence, \"\"I expect to be disappointed,\"\" make sense?\""
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
