---
datasets:
- quarkss/stsb-indo-mt
- rzkamalia/stsb-indo-mt-modified
language:
- id
base_model:
- sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
tags:
- Sentence Similarity
- text-embeddings-inference
- feature-extraction
---
# Fine-tune sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 using Indonesia dataset

This is a sentence-transformers model fine-tuned from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) using the CSV dataset. The dataset source is [rzkamalia/stsb-indo-mt-modified](https://huggingface.co/datasets/rzkamalia/stsb-indo-mt-modified).

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer

# download model
model = SentenceTransformer("rzkamalia/fine-tune-paraphrase-multilingual-MiniLM-L12-v2-version-2")

# run inference
sentences = [
    '...',
    '...',
    '...'
]
embeddings = model.encode(sentences)

# get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
```