sentence-transformers How to use samuerio/lora_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("samuerio/lora_model")
sentences = [
"ace-v",
"The floor plan was drafted at 1/4 inch scale where each quarter inch equals one foot.",
"Fingerprint examiners follow the ACE-V methodology for identification.",
"Most modern streaming services offer content in 1080p full HD quality."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
