---
license: apache-2.0
language:
  - multilingual
  - ar
  - bg
  - ca
  - cs
  - da
  - de
  - el
  - en
  - es
  - et
  - fa
  - fi
  - fr
  - gl
  - gu
  - he
  - hi
  - hr
  - hu
  - hy
  - id
  - it
  - ja
  - ka
  - ko
  - ku
  - lt
  - lv
  - mk
  - mn
  - mr
  - ms
  - my
  - nb
  - nl
  - pl
  - pt
  - ro
  - ru
  - sk
  - sl
  - sq
  - sr
  - sv
  - th
  - tr
  - uk
  - ur
  - vi
---

# paraphrase-multilingual-MiniLM-L12-v2.gguf

```py
import torch
from llama_cpp import Llama
from sentence_transformers import SentenceTransformer
from scipy.spatial.distance import cosine

model = SentenceTransformer(
    "paraphrase-multilingual-MiniLM-L12-v2",
    model_kwargs={"torch_dtype": torch.float16}
)
llm = Llama.from_pretrained(
    "mykor/paraphrase-multilingual-MiniLM-L12-v2.gguf",
    filename="paraphrase-multilingual-MiniLM-L12-118M-v2-F16.gguf",
    embedding=True,
    verbose=False,
)

text = "움츠러든 어깨를 따라서 다시 저물어가는 오늘의 끝 밤이 조용히 나를 안으면 무너져가는 날 잊어버릴 수 있어"
embed1 = model.encode(text)
embed2 = llm.embed(text)
print(cosine(embed1, embed2))
```

```sh
0.005355771841081269
```